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C​ROP​T​ALK​ ​P​ODCAST 
E​PISODE​ 49 - D​ATA​ C​OLLECTION​ ​IN ​C​ANNABIS ​P​RODUCTION
WITH​ ​J​ASON​ S​COTT​ ​A​RNOLD
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Charlie McKenzie (HOST): [00:00:07] You're listening to crop-talk. 
The podcast for agricultural leaders. The guest you'll hear on the 
 
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show, are experimenting with new ideas and tactics. There in the lab. 
The greenhouse. 
 
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Or field. Getting their hands dirty.And making agriculture prosper 
 
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[00:00:22] You'll hear about 
 
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their Innovations. Successes. And challenges. But more importantly, 
how 
 
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they overcame. My name is Charlie Mackenzie. And I'm your host. 
Let's talk  
 
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crops. What's up folks Charlie Mackenzie here with [00:00:37] 
another episode  
 
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of crop Talk podcast. Today is December 30 actually and  
 
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I'm excited because we're winding down the year, but this is a 
podcast that  
 
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I've been waiting to record because I've got someone on that. I'm 
excited to have this conversation with. 
 
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And that's Jason Scott Arnold. He's the senior director. 
 
 
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Jason's on to talk about– you know understanding why capturing 
data is important 
 
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to the success of your next cannabis crop. And data is massively 
important. Why  
 
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you're capturing it is always a question. What to capture is definitely 
a question. How to use 
 
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that information. Analyze it. And then correlate the things is a whole 
different story that most of 
 
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the population, and especially in the growing environment aren't 
necessarily thinking about. So 
 
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this podcast is specifically to bring up some of these topics. To talk 
about what– what's some of the data that 
 
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you can capture and why it's important to you. To create that– that 
best 
 
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cannabis crop each and every time that you grow. You know this 
time, it's– it's perfect; quote 
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un-quote. As perfect as the grower will allow it to be, or we'll go out 
to be the next time. It's going to be even more perfect. 
 
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So that's the goal of capturing data. So again, I'm going to shut up. 
And 
 
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let Jason get into it, Jason, how are you doing today man? 
Jason Scott Arnold: I'm doing awesome. Thanks Charley,  
 
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I wish you wouldn't shut up. You know a lot about data capture. And 
I'm excited to talk to you about it. 
Charlie McKenzie: Right on brother 
 
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I'm excited to have this conversation. We will we'll both be talking 
and  
 
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reminiscing on how important it is and how some of the data we 
captured in the past taught us how 
 
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to grow a better crop. For me specifically, a lot of it's about how to 
control more bugs,  
 
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or get more yield. But, I think there's a lot of things that we can be 
learning 
 
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from data. And also learning from each other. So Jason, stoked to 
have you on. In a very 
 
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quick, 30 seconds or less, share with me, and the listeners a bit about 
yourself. 
 
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You know, where you came from, in terms of growing cannabis. And 
what you're up to these days. 
Speaker 1: So I  
 
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So, I was born and raised in Dallas, Texas. Spent thirty years there. 
Started cultivating cannabis 
 
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there. Illegally, of course. About three years ago, I got my start in 
 
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legal Market. We packed up our lives in Texas. Moved to Colorado. 
And I took an entry level 
 
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position with a large multi-state operator. From there, I was 
promoted to 
 
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a corporate trainer and auditor. And it afforded me the opportunity 
to travel across 
 
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the US and Canada. Auditing grows and training cultivators 
on how to cultivate at scale. And then after that, left that company. 
Moved to Northern California where I am currently serving as Senior 
Director of Cultivation at Henry's Original. We grow sungrown 
cannabis, some of the best flower in the world. We also are well 
known for our pre-rolls. 
 
 
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on how to cultivate at scale. And then after that, left 
 
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that company. Moved to Northern California where I am currently 
serving as Senior Director of Cultivation 
 
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at Henry's Original. We grow sungrown cannabis, some of the best 
flower in  
 
 
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the world. We also are well known for our pre-rolls. 
 
Charlie McKenzie: I love it man.  
 
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Sungrown cannabis. That's– treat to say the least, especially where 
 
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you're at right now. And, I can imagine being all over the country 
and 
 
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in North America looking at different cannabis operations; there's 
something quite 
 
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special and unique about it; about the crop that you're 
 
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growing in that part of the country 
 
Speaker 1:That is an understatement. The Emerald Triangle 
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is definitely renowned for passion cultivators.  
 
 
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And terroir. The land. The air. The lights. The cold nights. Everything 
that goes into producing  
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that really high-quality cannabis flower. 
 
Speaker 2: Oh  
 
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What a treat it must be. But,– it's only a treat if you're able to 
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continually produce a quality crop. In producing that quality crop, 
in my opinion starts with  
 
 
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understanding what you're doing what you've done and what you're 
going to do in the future. And so,  
 
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capturing data, is very important to me. And I know, it's important 
to you 
 
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actually, as time goes on, it's starting to become a Hot Topic. I think 
it's going to  
 
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be massively more important as we see margins continually shrink 
and more 
 
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commoditization as full legalization occurs over the next few years. 
Wishful 
 
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thinking cross my fingers on that one coming.  
 
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But all that being said. The data. It's so important. If you're going to 
continually 
 
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produce a quality crop. Be in compliance. And also, have a margin 
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that's going to feed your business for the future. So Jason, give me 
a little bit of  
 
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your opinion on what kind of data— what data is a grower 
 
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looking to be focused on when it comes to, you know, their entire 
operation. What should they start with? 
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Where are they even looking at? What data is important? 
Jason Scott Arnold: important? That is a really  
 
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That is a really good question and so, you know, I think that it's a 
case-by-case kind of dea 
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l, you know, if it's going to depend on your cultivation methodology. 
Are you growing indoor or  
 
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Greenhouse We have a little more control over the environment. Are 
you growing full term outdoor? 
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I also think final product probably plays a little bit of consideration 
when 
 
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understanding what types of data to capture. Are you growing for 
biomass? Are you growing for 
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top-shelf flower? Because those data points might change 
depending on your methodology 
 
 
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. If you're somebody who is biodynamic. Or a Korea natural farmer 
type,  
 
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maybe not as keyed in on certain inputs fast. If you're using bottled 
nutrients  
 
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still raw salt, you might be a little more keyed into those kind of 
inputs, but I think  
 
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as far as data points that everybody should be recording our things 
around cultivar around  
 
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yield, Around placement in the garden or greenhouse. those are  
 
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sort of the bare minimums to– start recording. I think  
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I think that the gold standard is to try and work back to your cost of 
goods sold. Because, as you hit the nail 
 
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on the head Charlie. The cost of cannabis is going to continue to 
decline. As more and more people  
 
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learn how to cultivate at scale; more supply. Lower price. 
 
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so everybody is going to have to get a good handle on it. How much 
does it cost to produce  
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their pound? Their units? And you were asking 'what data points'? 
And I guess, 
 
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it's a really broad questions. I guess– I think that you know, there 
needs to be a holistic  
 
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look. And so, at a minimum, they need to be focused on cultivar. 
Yields.  
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And placement in the garden. And then beyond that. I think there's a 
ton of operational data  
 
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that you can overlay on top of that to gain deeper insight. Whether 
that's environmental conditions.  
 
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Nutrients. What is your fertility management strategy. Light 
intensity. Other  
 
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environmental conditions. Temperature. Humidity. The BPD ; blah 
blah blah 
Charlie McKenzie: No. Yeah,  
 
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Absolutely. So, is there a big difference would you say between why  
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a grower would capture one piece of data versus the other. If 
they're, say easier to capture and try and maniputate versus, say 
that of a controlled 
 
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environment? Versus, say that of an outdoor operation? 
 
 
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to capture and try and maniputate versus, say that of a controlled 
environment? Versus, say that of an outdoor operation? 
Speaker 1: That is  
 
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That is a really good question. So working here in Mendocino. We 
have several cultivation sites  
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that are extremely remote start. That are very far removed from 
town. 
 
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From internet. And so, it's hard to automate things like temperature 
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and humidity captured. There's lots of great tools out there. And 
there are some that might work with cell  
 
 
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service for us down in the valley. 
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Where our Nursery Greenhouse  
 
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to capture environmental data against our remote farm on the hill.  
 
 
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To capture the same information. We just don't have the same 
infrastructure. And so 
 
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know things like​ temperature, humidity, light intensity, airflow.  
 
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Those things are a little bit easier to capture in a greenhouse and 
there's lots of tools. 
 
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Built into your greenhouse data management platform or 
third-party that allow  
 
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for easy to capture information where it's not a manual process. 
You're not having to  
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grab a ​Data Logger​ off the wall and plug it into the computer and 
download that information. 
 
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Speaker 2: Yeah. I know that that's a good explanation Jason. So 
before we get into how a 104 
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grower can you know capture and analyze data in one of those 
platforms or  
 
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it were using their environment control system. I guess. My question 
would be  
 
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how important is it for a grower that can't access any sort of, 
 
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automated collection of the data to actually go out there; and  
 
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try to record data on their own manually to get that information in 
their books  
 
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and have it, for instance. when you guys are talking about the the 
location that remote  
 
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location that you have out there. What's the data that you want to 
record? No matter what  
 
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even if it's a pain in the ass to record. What data are you recording 
out there? No matter what that  
 
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you think that every grower, no matter if they're growing in 
Timbuktu or growing in the in the nicest vertical  
 
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Farm in the world. What should they be recording  
Speaker 1: that is a really good question. 
 
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And so, you know, obviously anything related to integrated Pest 
Management that includes scouting  
 
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any sort of mixing or applications that take place. I personally want 
anything related to  
 
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to fertigation. So if you're irrigating I want to know how many 
gallons ​you are irrigating  
 
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what areas were irrigated what the ​ph and EBC ​of mixes. What the  
 
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contents of that mix were and then after that 24 hours later. I would 
like  
 
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an analysis of the ph and EBC of the media as well. I think, for an 
outdoor farm. Those  
 
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are the things that I would say are a necessity beyond that, there 
are some things  
 
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that you could capture but for me, that's the meat and the potatoes.  
Speaker 2: Oh, that's great. Now that's  
 
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gold and I appreciate you explaining that from your perspective 
having done a lot  
 
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of controlled environment having done a lot of, highly controlled 
environment having done a lot of  
 
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greenhouseNow doing a lot of outdoor. And greenhouse hybrid. 
That's good information 
 
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for folks that are kind of like 'uhhh— data. I don't even know what 
I'm supposed to be thinking about. 
 
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or talking about." That gives them a little bit of frame of reference 
of where to start.  
 
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Why do I start capturing data; and I personally think, now tell me 
what you think Jason, that  
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that once you start capturing some data and you're consistent with 
it you; 
 
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even if you're not really trying to analyze it you start to see trends 
that you're like, oh  
 
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wow, that's why that happened and then data becomes so much 
more valuable to you and  
 
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then honestly as a cultivator if you've got any salt about you data 
becomes a little  
 
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bit. Addictive. Because that means you're a better grower 
Speaker 1: absolutely data can really help  
 
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confirm those instincts. It can help ​quantify the impacts ​of all these 
variables that were talking  
 
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about and so, you'd ask what variables are important and really it 
could be any  
 
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of those variables that go into ​influence the growth of the plant ​and, 
there is  
 
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a ton of different variables. And so, particularly for an outdoor farm, 
we try to really stay focused on the things that are going to 
 
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impact the plant growth.  
Charlie McKenzie: Hmm. That's that is great. That is great. So Now  
 
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now getting past, kind of, what data we could be collecting. And 
what data might be  
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right for each cultivator to collect his is kind of up to them. And also 
based on their context.  
 
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And situation. Just like any, you know, Pest Management program. 
Or any nutrient program. You can't just 
 
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go walk into a greenhouse and say boom. You need to do this. And 
you need to feed this way.  
 
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It's one of those things where– what, what data is important to you? 
And what your outcome is?  
 
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Your contextual, unique situation and I think each  
 
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person needs to evaluate what data they need to collect. But, the 
key to all of this, this 
 
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first part of this conversation is you need to be collecting data. 
 
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you've decided that you're going to collect data and you figured out 
what these data points  
 
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are and how you're going to be consistent with it. You've got to 
figure out a way to organize it. And so,  
 
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you know, we talked a little bit about capturing. Some ways you can 
do it automated with  
 
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Sensors. Some ways, it's You picking up the pen and paper and 
writing it 
 
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down. Sometimes it might be using a computer. Jason what's your  
 
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opinion and your experience on how a grower could capture and 
analyze some of  
 
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the data points you just described? And how do they then take that 
and use  
 
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it to make some decisions later?  
Speaker 1: That's a really good question. You know if you collect the  
 
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data and you can't utilize it, is it worth collecting? Probably not. And 
so I  
 
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I think the most important thing– do not collect it on paper. At 
minimum; 
 
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High Five. Ha. Ha. Ha. 
 
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I can't even tell you how many (making a whipc snapping sound) 
really talented growers I know, that write stuff down on paper,  
 
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and then it's almost impossible to use that information. Whereas if 
they were to just plug it into a spreadsheet from the get-go we  
 
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would be able to I see if we can make charts and graphs and we 
could dive into it to see  
 
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what's going on. And, umm, all it takes is plugging it into something 
like Google Sheets© or  
 
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Excel™. If I could drive one thing home over this podcast, it's– 
DON'T write it down on paper.  
 
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put it in a spreadsheet. And then from there you can you can do a lot 
with it and  
 
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you might get to the point where you're collecting a lot of data. 
You've outlined what data points you're going to collect you've  
 
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outlined who's going to collect them. And at what point in the 
process they're going to collect them. Then you do it and  
 
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and you go through the season and now you've got a data set that 
you can actually crunch  
 
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numbers on to see what has impacted your crop and at that point 
you might realize, you  
 
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know, I got a couple spreadsheets going. It's not super user-friendly 
it's time  
 
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for me to find a system and at that point, there's lots of  
 
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different kinds of systems out there that range from cultivation 
management  
 
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platforms are greenhouse management platforms Inventory 
management platforms. Like we talked about  
 
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there's some that are just sensor platforms that are really powerful 
and then then you have the old school  
 
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monolithic erps. And so, ​I think it's important to evaluate what your 
needs are  
 
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identify the key features that meet those needs and then evaluate 
which platforms,  
 
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you know are cost-effective. I would also like to say that ​there's a lot 
of platforms out there that are  
 
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cannabis specific that are really expensive for what they are​. And so 
it pays to do your research in  
 
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this area before jumping into whichever platform might Be hot.  
Charlie McKenzie: No, man, there was  
 
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like three to five pieces of gold in that in that answer you  
 
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just had their so I'll go with the first piece, you described  
 
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not writing things down. Yeah. Okay. It makes sense. If you got to 
write something down to then take  
 
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it to the computer to enter the data to then analyze it go for it. You 
can have your pen and paper  
 
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but if you want to actually make some decisions based on your 
data, you got to get it into a way that  
 
182 
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you can manipulate it and compare it and correlate it with other 
pieces of data or  
 
183 
00:15:55,008 --> 00:16:00,008 
other things that you've analyzed. And so that's a huge piece. But 
what I love that  
 
184 
00:16:00,008 --> 00:16:05,048 
you said is ​you need to just start collecting data ​and ​doing it in a 
spreadsheet  
 
185 
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and seen how you do it. Who does it? Well the consistency of  
 
186 
00:16:10,048 --> 00:16:15,048 
it. Are you actually capturing it? Are you just half-assing it because 
I've seen  
 
187 
00:16:15,048 --> 00:16:20,048 
it personally. I think I've been a victim of this with other software 
solutions for my  
 
188 
00:16:20,048 --> 00:16:25,060 
business and and even as a young grower or some things that I was 
looking at. A tool  
 
189 
00:16:25,060 --> 00:16:30,060 
is not going to make you collect data. The tool, if the  
 
190 
00:16:30,060 --> 00:16:35,060 
tool is automated and it's collecting data, then great. Yes, it will 
collect the data then you've got to  
 
191 
00:16:35,060 --> 00:16:41,008 
go review it and analyze it but if if you're thinking that buying a 
cultivation management  
 
192 
00:16:41,008 --> 00:16:46,048 
software platform is magically going to give you the ability to see 
how  
 
193 
00:16:46,060 --> 00:16:52,008 
your EC and pH readings affected your crop over the course of the 
past three months 
 
194 
00:16:52,028 --> 00:16:57,060 
and you're not going to do any PH or ECG readings; well...  
Speaker 1: you  
 
195 
00:16:57,060 --> 00:17:02,060 
know– you have to be committed. And have this mindset— and I 
think 
 
 
196 
00:17:02,060 --> 00:17:07,060 
that's what you were getting at— is that by– just starting to collect 
and start  
197 
 
00:17:07,060 --> 00:17:12,060 
looking at your crop from an objective point of view. Like hey  
 
198 
00:17:12,080 --> 00:17:17,080 
what data can I collect.? Just getting into that, is the first step in. 
 
199 
00:17:17,080 --> 00:17:22,080 
Do NOT waste your time, nor money on going and saying, 'you know 
what, I've never collected data, and 
200 
00:17:22,080 --> 00:17:27,080 
I need a $5000 a month software Solution, 
 
Speaker 1: Please. Please don't do that. You hit the  
 
201 
00:17:27,080 --> 00:17:33,020 
the nail on the head. It's consistency .It's defining those data points. 
Defining who is responsible.  
 
202 
00:17:33,020 --> 00:17:38,028 
And when collection happens. And making sure it's done the same 
way each time. Because to your point,  
 
203 
00:17:38,028 --> 00:17:43,028 
if the tool is not used properly and you have different people 
inputting the information in different ways; you  
 
204 
00:17:43,028 --> 00:17:48,068 
know– garbage in; garbage out. You can have the best tools, but if 
you are not using them properly, you;re not going to be 
 
 
205 
00:17:48,068 --> 00:17:54,068 
any better off. 
 
Charlie McKenzie: There you go. That's a really good point. About the 
fact that training  
 
206 
00:17:54,068 --> 00:17:59,068 
the individuals. And knowing how they're collecting the data. The 
way that  
 
207 
00:17:59,068 --> 00:18:04,080 
the data is collected in the samples are prepared as just as 
important as the actual result. So  
 
208 
00:18:04,080 --> 00:18:09,088 
I think that that's another good point and the other gold nugget that 
I want to  
 
209 
00:18:09,088 --> 00:18:15,020 
hit on in your answer there Jason. The fact that you do have to do 
due diligence in terms  
 
210 
00:18:15,020 --> 00:18:20,060 
of what the platform is actually offering if you're going to go with a 
cultivation management software  1
211 
00:18:20,060 --> 00:18:25,088 
system you're going to Go with with some sort of Erp one that 
integrates with a bunch of different  
 
212 
00:18:25,088 --> 00:18:31,008 
platforms. You got to look at it from the perspective of one is this 
actually going to do  
 
213 
00:18:31,020 --> 00:18:36,040 
is this built right? Now? For what I need? Or is this something that 
they're going to have to build on the Fly  
 
214 
00:18:36,040 --> 00:18:41,048 
and test for us? Because those are two completely different things. if 
you understand anything about software  
 
1
"Artemis | Market Leading CMP for Enterprise Greenhouses ...." ​https://artemisag.com/​. Accessed 6
Feb. 2020.
215 
00:18:41,080 --> 00:18:46,080 
and I don't. I didn't understand a lot about software myself. So let's 
just say I learned the hard way. In  
 
216 
00:18:46,080 --> 00:18:52,000 
a few different situations. Number two is that there's a cannabis Tax
  2
 
217 
00:18:52,000 --> 00:18:57,048 
and people don't want to talk about it as a vendor or someone 
providing software or nutrients  
 
218 
00:18:57,048 --> 00:19:02,048 
or lights or even a service man. Like we should not  
 
219 
00:19:02,048 --> 00:19:07,048 
be looking at cannabis as this industry to take advantage of as 
vendors and I  
 
220 
00:19:07,048 --> 00:19:12,060 
think that there are culprits out there who are definitely responsible  
 
221 
00:19:13,000 --> 00:19:18,008 
when it comes to saying hey, I'm going to take advantage of these 
Growers and charge them three times the amount  
 
2
"Tax Guide for Cannabis Businesses - CDTFA - CA.gov."
https://www.cdtfa.ca.gov/industry/cannabis.htm​. Accessed 6 Feb. 2020.
222 
00:19:18,008 --> 00:19:23,008 
of what we charge another high value crop grower and I think that 
that's something to  
 
223 
00:19:23,020 --> 00:19:28,040 
really consider. You know, when it comes down to you, you looking 
for a system. Am I  
 
224 
00:19:28,040 --> 00:19:33,048 
paying a cannabis tax and and or should I be looking at  
 
225 
00:19:33,048 --> 00:19:38,048 
a system that was not developed for cannabis? Those are good 
questions some that  
Speaker 1: Hit the nail  
 
226 
00:19:38,048 --> 00:19:43,060 
on the head.  
Speaker 2: Yeah, so tell me tell me more about your thoughts on 
that. 
Speaker 1: I couldn't have said it any better. I mean,  
 
227 
00:19:44,028 --> 00:19:49,048 
I would be leery of people who are only in the Cannabis space 
because you know cannabis is unique  
 
228 
00:19:49,048 --> 00:19:54,068 
crop in the sense that it's very high value that it's been prohibited for 
so long.  
 
229 
00:19:55,008 --> 00:20:00,060 
Other than that, the pieces of information that we need to collect 
are going to be more or less the same  
 
230 
00:20:00,060 --> 00:20:05,080 
as you know, any perennial as any annual, any  
 
231 
00:20:06,000 --> 00:20:11,008 
yep any of I'm having a brain fart, what are the red  
 
232 
00:20:11,068 --> 00:20:16,068 
Christmas flowers  
Speaker 2: poinsettia? Yeah poinsettia, that it was then,  
Speaker 1: you know, it's the same as  
Speaker 2: Poinsettia. So  
 
233 
00:20:16,068 --> 00:20:21,080 
it couldn't be more simple. It could not be more similar than 
poinsettia. It's yeah.  
 
234 
00:20:21,080 --> 00:20:26,088 
Every day, I grew; well let's just say I grew too many poinsettias in 
my life. So I believe yeah, I'm happy  
 
235 
00:20:26,088 --> 00:20:32,008 
to be in cannabis.  
Speaker 1: That's good. Yeah, and so I would be super leery  
 
236 
00:20:32,008 --> 00:20:37,008 
of any product that is only in the Cannabis space. There are some 
really strong options that are  
 
237 
00:20:37,008 --> 00:20:42,020 
in the corner and space and I will start my 
 
238 
00:20:42,020 --> 00:20:47,060 
eye to cannabis only solutions just because there is a propensity to  
 
239 
00:20:47,080 --> 00:20:52,080 
be higher price than similar solutions for Similar Technologies.  
 
240 
00:20:52,088 --> 00:20:58,028 
Speaker 2: Yeah, that's that's good. I appreciate that nugget there. 
So we're we've talked about  
 
241 
00:20:58,040 --> 00:21:04,028 
how your how what you're looking for in terms of data. Why your 
grow needs to have a contextual  
 
242 
00:21:04,028 --> 00:21:09,040 
plan based on what Data you are going to collect who's going to 
collect it when they're going to collect it. The  
 
243 
00:21:09,040 --> 00:21:14,040 
expectations of collection. The procedures for collection. And then 
you're going to collect it. 
 
244 
00:21:14,040 --> 00:21:19,040 
Not on paper. But you're going to get it into a system. Whether it's 
Excel™ Google Sheets™ or some sort  
 
245 
00:21:19,040 --> 00:21:24,080 
of platform that can help you record it. Store it. Analyze  
 
246 
00:21:24,080 --> 00:21:29,080 
It. Manipulate it. Whatever that may be. Okay, so that's all good and 
well, but now  
 
247 
00:21:30,040 --> 00:21:35,040 
what are we going to do with that data to make ourselves better? 
And that's the question  
 
248 
00:21:35,040 --> 00:21:40,040 
I have for you. Jason is how does a grower take all of this analysis? 
 
249 
00:21:40,060 --> 00:21:45,068 
And take all of this– this data; Maybe there is some machine 
learning? Maybe,  
 
250 
00:21:45,068 --> 00:21:50,088 
one of these platforms gave you that capability? if you have enough 
data, how does a grower take 
 
251 
00:21:50,088 --> 00:21:56,020 
that information and action upon it? For next time. So that they 
improved their crop. 
 
252 
00:21:56,040 --> 00:22:01,060 
Crop over crop. 
 
Speaker 1: There's lots of ways to take the information and  
 
253 
00:22:01,060 --> 00:22:06,088 
turn it into insight. And so it again kind of goes back to what the  
 
254 
00:22:07,000 --> 00:22:12,000 
use case is. So it could be some as simple as we've identified that  
 
255 
00:22:12,000 --> 00:22:17,000 
the blue dream does really well in room 3 and room 3 seems to be  
 
256 
00:22:17,000 --> 00:22:22,000 
On average 10 degrees warmer than room 2. And so, you know all it 
took for  
 
257 
00:22:22,000 --> 00:22:27,000 
us was to look at the numbers and see that this is the one variable. 
that is consistently different. It is  
 
258 
00:22:27,000 --> 00:22:32,000 
probably driving this difference in yield. And so in that scenario, it's 
super easy to just  
 
259 
00:22:32,028 --> 00:22:37,040 
grow blue dream in room 3. And then you're going to see an increase 
in yield. Whereas, you know other  
 
260 
00:22:37,040 --> 00:22:42,040 
scenarios, say you want to get off of bottled nutrients. If you realize 
that you're spending a ton of  
 
261 
00:22:42,040 --> 00:22:47,040 
money just shipping water and you want to move to something more 
cost-effective, you  
 
262 
00:22:47,040 --> 00:22:52,040 
know, you could set up a trial where you compare the two. And then  
 
263 
00:22:52,040 --> 00:22:57,048 
from there analyze the information. Make sure that you know, your 
yield needs  
 
264 
00:22:57,048 --> 00:23:02,060 
to be with with the new fertility program; that you're not sacrificing  
 
265 
00:23:02,068 --> 00:23:07,068 
quality in terms of cannabinoid content or terpene content and  
 
266 
00:23:07,068 --> 00:23:12,068 
then, evaluate it. And make sure it's the right decision. And then you 
implement it. It's as simple  
 
267 
00:23:12,068 --> 00:23:17,080 
as replacing the liquid ferts with something more cost-effective.  
Speaker 2: Yeah, 
 
268 
00:23:17,080 --> 00:23:22,088 
that's a good way to put it. I like that explanation. Something I just 
thought of  
 
269 
00:23:22,088 --> 00:23:28,000 
is, in the day of information that we're in the  
 
270 
00:23:28,000 --> 00:23:33,008 
Cannabis cultivators that consider themselves  
 
271 
00:23:33,020 --> 00:23:38,048 
also the leader and director of the the quote-unquote  
 
272 
00:23:38,060 --> 00:23:43,068 
internal R&D Department. Those are the folks that are that are 
going to succeed  
 
273 
00:23:43,068 --> 00:23:48,080 
because the guys that are doing it just the same way that they've 
done it every time and  
 
274 
00:23:48,080 --> 00:23:53,080 
their subjectively guessing on how that got better. Oh, yeah, man, it 
was because of  
 
275 
00:23:53,080 --> 00:23:58,080 
this or that I did on this. That's just not it. That's not something that 
you can bet the  
 
276 
00:23:58,080 --> 00:24:04,028 
farm on. And I think the way we're seeing this industry go; is that 
people  
 
277 
00:24:04,028 --> 00:24:09,048 
want to understand where their investment is going. People want to 
understand. Analyze it and I  
 
278 
00:24:09,048 --> 00:24:14,048 
think that that is important for any cannabis cultivator that that's  
 
279 
00:24:14,048 --> 00:24:19,068 
hopefully trying to get into it. Or that's in it right. Now. ​My word of 
advice is you need to consider yourself  
 
280 
00:24:19,068 --> 00:24:25,028 
the lead of an R&D team. And use the things the tools and  
 
281 
00:24:25,028 --> 00:24:30,040 
ideas. ​that Jason I've talked about here on this podcast and go out 
there and say, you know what, even  
 
282 
00:24:30,040 --> 00:24:35,040 
though I've got to run this, you know acre of crop. I also need to do 
these trials because this is  
 
283 
00:24:35,040 --> 00:24:40,040 
how I keep my job. I really think that that is how you continually  
 
284 
00:24:40,040 --> 00:24:45,040 
year-over-year keep your job and hopefully get better at the same 
time and have better crops. 
 
285 
00:24:45,040 --> 00:24:50,040 
You've got it at your fingertips. Now the opportunity is yours, you 
know,  
Speaker 1: I  
 
286 
00:24:50,040 --> 00:24:55,060 
couldn't agree more. Here at Henry's original we did a couple trials 3
over the summer runs  
 
3
"Henry's Original." ​https://henrysoriginal.com/​. Accessed 6 Feb. 2020.
287 
00:24:55,060 --> 00:25:00,060 
and one was a nutrient trial. One was a methodology trial where  4
 
288 
00:25:00,060 --> 00:25:05,060 
we're expanding our native soil plantings. And so both of them 
showed really promising and I know  
 
289 
00:25:05,060 --> 00:25:10,068 
you and I Charlie have talked a lot about data points to capture 
during the process, but we didn't  
 
290 
00:25:10,068 --> 00:25:15,068 
talk a ton about Harvest post-harves t and oh yeah what that's 5
okay. I want to  
 
291 
00:25:15,068 --> 00:25:21,008 
put it up, you know the stuff that we're recording during the the crop 
is super.  
 
292 
00:25:21,028 --> 00:25:26,048 
Important to that granular process Improvement and it's also the 
foundation. It's  
 
293 
00:25:26,048 --> 00:25:31,068 
4
"Trials | Methodology - Trials Journal - BioMed Central."
https://trialsjournal.biomedcentral.com/submission-guidelines/preparing-your-manuscript/methodology​.
Accessed 6 Feb. 2020.
5
"Welcome - UC Postharvest Technology Center." ​http://postharvest.ucdavis.edu/​. Accessed 6 Feb.
2020.
the base of all the data they're going to collect further. But for me 
personally, we grow smokable flower  
 
294 
00:25:31,068 --> 00:25:36,088 
top shelf flower. It's in the clear jar and so things like visual appeal a 
really important and so  
 
295 
00:25:37,008 --> 00:25:42,040 
not until that flower is trimmed. Do I have a good idea of what yield  
 
296 
00:25:42,040 --> 00:25:47,040 
actually was until you know, it could be two months down the road 
and so it's really important to  
 
297 
00:25:47,040 --> 00:25:52,048 
record that data and then to continue to record and there might be 
insights. On the post-harvest side of things  
 
298 
00:25:52,048 --> 00:25:57,060 
where you realize we can't keep running Sour Diesel because it's 
largely we get smashed on the post-harvest  
 
299 
00:25:57,060 --> 00:26:02,060 
side of things. It's just uneconomical and so, you know, we talked a 
lot about the the growing side of things  
 
300 
00:26:02,060 --> 00:26:07,060 
and you know, that's where my passion is. I know that's where your 
passion is, but there's also a lot of of information  
 
301 
00:26:07,060 --> 00:26:12,068 
that needs to be considered on the post-harvest side of  
Speaker 2: things man. That's is  
 
302 
00:26:12,068 --> 00:26:17,088 
as I said, that was pure gold before. But I guess that's Platinum. 
Because when  
 
303 
00:26:17,088 --> 00:26:23,020 
I get accurate, yeah, there you go. But here's the thing man when it 
comes down to it. And how you and I just  
 
304 
00:26:23,028 --> 00:26:28,028 
I just did it. You didn't do it you brought up the point. I did it where I 
almost  
 
305 
00:26:28,028 --> 00:26:33,040 
kind of skated over the fact that that post-harvest process is almost 
if  
 
306 
00:26:33,040 --> 00:26:38,040 
not ​more important​ than the actual growth. Yes. ​You can't have a 
post-harvest  
 
307 
00:26:38,040 --> 00:26:44,008 
process without a good crop, but you  
 
308 
00:26:44,008 --> 00:26:49,028 
certainly can't have a good final crop without a good post Harvest 
process. So  
 
309 
00:26:49,088 --> 00:26:55,008 
yeah, that's that's a Really good point man, and I think actually 
when I think about  
 
310 
00:26:55,008 --> 00:27:00,008 
it it a lot of the data that you're collecting during the crop and on 
the front end does  
 
311 
00:27:00,008 --> 00:27:05,048 
not necessarily become relevant unless you're collecting that 
post-harvest data.  
Speaker 1: Exactly  
 
312 
00:27:05,048 --> 00:27:10,048 
unless,you're going to fresh frozen or it's right for biomass. Definitely  
 
313 
00:27:10,048 --> 00:27:15,060 
specific to each use case. But, I know tons of really good growers  
 
314 
00:27:15,060 --> 00:27:20,080 
and I know a couple that have ruined their product on the post 
harvest side of things.  
315 
00:27:20,080 --> 00:27:26,020 
It got too dry. They didn't control temperature and humidity. Just 
threw it in a barn and now it smells like hay. 
 
316 
00:27:26,028 --> 00:27:31,040 
I'm right there with you. I think that for me personally, my passions 
is with the living plant and being  
 
317 
00:27:31,040 --> 00:27:37,000 
able to manipulate those variables to get the best expression of that 
plant possible. 
 
318 
00:27:37,048 --> 00:27:42,060 
The post harvest stuff– ehhh– it doesn't light my fire, but it's super 
319 
00:27:42,060 --> 00:27:47,080 
important to the final product. Right? 
Speaker 2:Yeah. No, it's not it's not  
 
320 
00:27:47,080 --> 00:27:53,020 
It's not it's not as burping a shit ton of containers is not something 
321 
00:27:53,020 --> 00:27:58,048 
that I'm necessarily always excited for. But, at the same time  
322 
00:27:58,048 --> 00:28:03,088 
I tell people all the time that are getting into the new smokable 
 
 
323 
00:28:03,088 --> 00:28:08,088 
hemp flower market. They're like "ahh man, we're going to get it out 
of the barn. It's going to be dried perfectly to this moisture  
324 
00:28:08,088 --> 00:28:14,068 
content. I am going to trim it up. Put it in these buckets for about a 
week and then we're going to sell it." I'm like man– I  
 
325 
00:28:14,068 --> 00:28:19,068 
think you're going to need to think about that whole process a little 
bit more in detail. If you think you're going 
 
326 
00:28:19,068 --> 00:28:25,040 
to get that amount of money per pound you think you're going to 
get. 
 
 
327 
00:28:25,040 --> 00:28:30,080 
Because it can be a sad sight man, when you've got a really good 
grower that just hasn't never dialed in the post-harvest 
328 
00:28:30,080 --> 00:28:35,088 
process. And you see that that go down from a wonderful crop to 
what could have been an A+ to a C.  
 
329 
00:28:35,088 --> 00:28:41,060 
Just like you described. Hanging in the bar and getting hay  
330 
00:28:41,060 --> 00:28:46,060 
smell. Shit, this year man, I had guys that had the tobacco smell 
because they hung it right after a  
 
331 
00:28:47,020 --> 00:28:52,040 
tobacco crop. So yeah, I know I know exactly what you're talking 
about there. And and I think this whole  
 
332 
00:28:52,040 --> 00:28:57,048 
point we're having right now is that actually an itch that folks that 
are listening to 
 
333 
00:28:57,048 --> 00:29:03,020 
this if they're interested in like "hey, man, I stumbled upon crop Talk 
podcast somehow 
 
334 
00:29:03,020 --> 00:29:08,020 
I found it on the bottom 100 craziest podcast list. And, and  
 
335 
00:29:08,020 --> 00:29:13,028 
I found it on the the bottom 100 craziest podcast list. And and I'm 
interested in listening to it. I've never done anything and I want to 
get into the industry. What should I  
 
336 
00:29:13,028 --> 00:29:18,028 
focus on? I don't have a green thumb. I don't know what the hell to 
do in a greenhouse actually don't want to sweat my ass off in the 
greenhouse.  
 
337 
00:29:18,028 --> 00:29:23,040 
I don't want to be there all the time and spend my whole life  
 
338 
00:29:23,040 --> 00:29:28,048 
at the greenhouse. What can I do in the Cannabis industry? 
Post-harvest processor? Right?  
 
339 
00:29:28,048 --> 00:29:34,020 
Like that's someone who focuses. Let's get it dried. Let's  
 
340 
00:29:34,020 --> 00:29:39,028 
get it trimmed. And let's get it cured. And let's get it packaged. And 
whatever  
 
341 
00:29:39,028 --> 00:29:44,040 
way that it needs to be; that's a job. And a very crucial one and 
could  
 
342 
00:29:44,040 --> 00:29:49,040 
be a position in and of itself. If someone decided to specialize in it.  
Speaker 1: Absolutely.  
 
343 
00:29:49,040 --> 00:29:54,068 
and any large scale Operation; to your point is going to have an 
immense amount  
 
344 
00:29:54,068 --> 00:29:59,080 
of work. And you know, typically one person is not going to be able 
to do it on their own. And so they'll  
 
345 
00:29:59,088 --> 00:30:05,000 
need to be high level management who's making sure things are 
done properly. The  
 
346 
00:30:05,000 --> 00:30:10,008 
product doesn't get to dry before it's bucked. That things are turned. 
And burped. And you know, all of that due  
 
347 
00:30:10,008 --> 00:30:15,020 
diligence necessary to bring a high-quality smokeable 
product-to-market.  
Speaker 2: Yeah, buddy.  
 
348 
00:30:15,028 --> 00:30:20,068 
Yeah, that’s definitely an opportunity for for folks out there listening  
 
349 
00:30:20,068 --> 00:30:25,080 
and I think It's something, it gives me kind of a writedown on a 
sticky note  
 
350 
00:30:25,080 --> 00:30:30,080 
or episode my computer. Now, like “hey remember not to be an 
idiot when it comes to post-harvest  
 
351 
00:30:30,080 --> 00:30:36,008 
process. So I'm going to keep thinking about that as we gear up 
because that's  
 
352 
00:30:36,008 --> 00:30:41,020 
an important one man. For sure. So, now now kind of getting back to 
the  
 
353 
00:30:41,020 --> 00:30:46,040 
to the more general side of things. When it comes to data, what  
 
354 
00:30:46,060 --> 00:30:52,028 
what for you, like if there was something, some piece of data  
355 
00:30:52,040 --> 00:30:57,060 
that you could collect; now, that you're not able to collect, for 
whatever reason what would it be? 
 
356 
00:30:57,060 --> 00:31:02,068 
Given the technology is not there yet for us to be able to collect that 
data. Maybe it's just too difficult to collect it. Like  
 
357 
00:31:02,068 --> 00:31:07,088 
what do you think some crazy piece of data that you want to see be 
collected? That would be beneficial  
 
358 
00:31:07,088 --> 00:31:13,000 
to you or some correlation of different data points. That would be 
beneficial to you? Just off-the-cuff data points. Beyond what's 
available. Just off the cuff data points 
 
359 
00:31:13,000 --> 00:31:18,040 
Speaker 1: You know, that's a really that's an interesting question. I 
haven't put a ton of thought into 
 
360 
00:31:19,020 --> 00:31:24,080 
unique data points. Beyond what's available, because you and I 
were talking about 30 megahertz  
 
361 
00:31:24,088 --> 00:31:30,000 
before the podcast here and they have an amazing platform. That 
takes  
 
362 
00:31:30,000 --> 00:31:35,028 
everything I could possibly want to quantify and they give you 
answers  
363 
00:31:35,028 --> 00:31:40,060 
to do that where the best wind speed PH or EC. And intensity  
 
364 
00:31:40,060 --> 00:31:45,068 
airflow. I mean, you know a really robust offering and so,  
 
365 
00:31:45,068 --> 00:31:50,088 
know, I haven't put a ton of thought into it, you know, there might 
be other things like dissolved oxygen and 30 megahertz might offer 
that and so  
 
366 
00:31:51,020 --> 00:31:56,040 
I would be wary of the over capture like we had talked about before 
the podcaster.  
 
367 
00:31:56,068 --> 00:32:03,020 
It's easy these days to put a sensor everywhere and we  
 
368 
00:32:03,020 --> 00:32:08,020 
really just over 70. Sensors for everything. And you get to the point 
where the  
 
369 
00:32:08,020 --> 00:32:13,028 
data is hard to use. It's almost inationable because you have so 
much data. Do  
 
370 
00:32:13,028 --> 00:32:18,060 
you really need 14 sensors in a 1,000 square foot  
 
371 
00:32:18,088 --> 00:32:24,000 
flower room, probably not. And so I don't know. You know, that's a 
good question. I for what it's worth. There  
 
372 
00:32:24,000 --> 00:32:29,020 
are some really awesome tools out there sure there's some unique 
ones like bricks or  
 
373 
00:32:29,060 --> 00:32:34,068 
color flow meters that all right easy to automate but that's  
Speaker 2: good. But  
 
374 
00:32:35,020 --> 00:32:40,028 
to  
Speaker 1: that end, you know, there's things that personally I wish 
that my operation was doing a  
 
375 
00:32:40,028 --> 00:32:45,028 
better job of you know, like if we had the 30 megahertz platform, for 
example, I would love to have light intensity  
 
376 
00:32:45,028 --> 00:32:50,028 
sensors so we could adjust our VPD based on the actual light that's 
being received and you  
 
377 
00:32:50,028 --> 00:32:55,040 
know those kind of Answers would be really nice but you know, it's 
not in the budget this year maybe next year.  
 
378 
00:32:55,060 --> 00:33:00,068 
Speaker 2: Yeah. There you go. I mean there's always there's always 
next year next crop and  
 
379 
00:33:00,068 --> 00:33:06,000 
and proving why it's important, but I think I like your answer. That 
was a very astute  
 
380 
00:33:06,000 --> 00:33:11,008 
answer in my opinion in terms of like hey, man. Yeah, there's a lot of 
stuff that I'm interested in kind of seeing but  
 
381 
00:33:11,008 --> 00:33:16,008 
it's not necessarily going to be a hundred percent relevant to me 
growing a better crop. I think that's the  
 
382 
00:33:16,008 --> 00:33:21,028 
question we have to ask ourselves and it's also questioned that new 
companies that are trying  
383 
00:33:21,028 --> 00:33:26,048 
to develop sensors or develop software that pairs with sensors or 
develop  
 
384 
00:33:26,060 --> 00:33:32,000 
software that just helps growers. Or is it is it Overkill? Is it 
redundant? 
 
 
385 
00:33:32,000 --> 00:33:37,008 
just inventing a solution to have a solution? You know, those are 
important things  
 
386 
00:33:37,008 --> 00:33:42,028 
to consider. Speaker 2: So I appreciate that answer for sure. Just 
starting up  
 
387 
00:33:42,028 --> 00:33:47,068 
To startup  
Speaker 1: most goes are you going to say I think a lot of startups  
 
388 
00:33:47,068 --> 00:33:52,068 
who disappear within the first couple years, that's their problem. Is 
doing something that  
 
389 
00:33:52,068 --> 00:33:57,088 
maybe didn't necessarily need a solution just setting out to start  
 
390 
00:33:57,088 --> 00:34:03,008 
it.  
Speaker 2: Yeah, I understand completely. I definitely understand 
completely so off  
 
391 
00:34:03,008 --> 00:34:08,020 
off the wall completely out of left field when it comes to data. It 
doesn't involve data at all.  
 
392 
00:34:08,020 --> 00:34:13,028 
But I'm wondering who is someone or a group of people that you 
are currently  
 
393 
00:34:13,028 --> 00:34:18,040 
grateful for in your life or business? And why are you grateful for 
that person or those  
 
394 
00:34:18,040 --> 00:34:23,048 
people? Man  
Speaker 1: first off I'm grateful for you Charlie. I thank you for 
having me on to talk about this. 
 
395 
00:34:23,048 --> 00:34:28,080 
Speaker 2: Right on bro. Spearker 1: For sure. I could talk for an hour 
about the people. I'm grateful for. I'm super  
 
396 
00:34:29,028 --> 00:34:34,048 
thankful for my wife. I would not be able to follow my passion for 
cannabis in to be on this incredible journey  
 
397 
00:34:34,048 --> 00:34:39,068 
if it wasn't for her love and support. And then beyond that, I talked 
to you about lots of friends and colleagues  
 
398 
00:34:39,080 --> 00:34:45,028 
met in the industry and all of those guys are amazing. And you 
know, I would not be here without those mentors.  
Speaker 2: That's  
 
399 
00:34:45,028 --> 00:34:50,060 
huge man. You know, what's interesting is that I tend to all the 
cannabis. Motivators that I  
 
400 
00:34:50,060 --> 00:34:55,068 
talked to or cultivators just in general growing crops there. There's a 
common  
 
401 
00:34:55,068 --> 00:35:00,068 
theme of how supportive the  
 
402 
00:35:00,068 --> 00:35:05,068 
spouses are to those Growers and how how important it is  
 
403 
00:35:05,068 --> 00:35:10,080 
to The Growers that those spouses are there and being supportive to 
them. Like  
 
404 
00:35:10,080 --> 00:35:16,000 
it's like this person in their Corner when they've gotten punched 25  
 
405 
00:35:16,000 --> 00:35:21,000 
times in the mouth. And they've got a cut above their eye. And the 
ref Is about to call the 
 
406 
00:35:21,000 --> 00:35:26,020 
fight, you know, you've got your spouse there in the corner saying 
hey, “it's okay go to the greenhouse and see if those lights  
 
407 
00:35:26,020 --> 00:35:31,060 
actually came on or not.”  
Speaker 1: Right exactly. You hit the nail on the head.  
Speaker 2: Yeah.  
 
408 
00:35:31,088 --> 00:35:37,020 
No, that's that's it's really cool though. And I think that that is 
something it takes a special  
 
409 
00:35:37,048 --> 00:35:43,000 
individual to be the partner of a greenhouse grower or a cannabis 
cultivator  
 
410 
00:35:43,000 --> 00:35:48,020 
or whatever it may be in the Horticulture field. So that's cool, man, 
and I appreciate  
 
411 
00:35:48,020 --> 00:35:53,028 
you sharing that I And it's a question. I like to I really like asking 
people it's been one that I've  
 
412 
00:35:53,028 --> 00:35:58,040 
added to every podcast here for the past. I think 10 or 12 episodes 
and I  
 
413 
00:35:58,040 --> 00:36:03,048 
love hearing their responses. So I appreciate that Jason.  
Speaker 1: Can I turn it on you and ask you who  
 
414 
00:36:03,048 --> 00:36:08,068 
you're  
Speaker 2: grateful for? Oh, yeah, I like like this, you know,  
 
415 
00:36:08,068 --> 00:36:13,080 
honestly man. I haven't talked a lot about it. I, I'm not, well-- I'm  
416 
00:36:13,080 --> 00:36:18,088 
constantly grateful and I tried to be. I try to show people my 
gratitude in so many different  
 
417 
00:36:18,088 --> 00:36:23,088 
ways. One, 'cause selfishly I think gratitude is sort of like a drug. In 
the sense of when I'm  
 
418 
00:36:23,088 --> 00:36:28,088 
having a horrible day; or I feel down on myself; when I, when I turn 
the gratitude on, 
 
419 
00:36:28,088 --> 00:36:34,040 
and I'd really just think to myself why I'm grateful. It changes my 
outlook. My perspective. 
 
420 
00:36:34,040 --> 00:36:39,060 
And puts me back into this mood that I feel I can, I can work in. 
And feel 
 
421 
00:36:39,060 --> 00:36:44,060 
happy about so selfishly. That's why I try to be grateful all the time. 
 
422 
00:36:44,060 --> 00:36:49,060 
I'm just blessed to have so many quality people in my life. But To 
answer  
 
423 
00:36:49,060 --> 00:36:55,000 
your question. I don't talk a lot about her; I talk a lot about my dad 
and his influence  
 
424 
00:36:55,000 --> 00:37:00,008 
but I would say I'm really grateful for my mom and my mom is 
probably  
 
425 
00:37:00,008 --> 00:37:05,060 
one of the hardest working people I've ever met and really put  
 
426 
00:37:05,060 --> 00:37:10,080 
a work ethic into me. I think a lot of it comes from her  
 
427 
00:37:11,000 --> 00:37:16,020 
roots in being a North Dakotan and growing up in Fargo and- and  
 
428 
00:37:16,020 --> 00:37:21,040 
being in that Midwestern cold environment. And she's an attorney  
 
429 
00:37:21,040 --> 00:37:26,040 
so she's she's got a way with arguments and in a way  
430 
00:37:26,040 --> 00:37:31,040 
with figuring out how to how to describe to me how I could do do 
better or  
 
431 
00:37:31,040 --> 00:37:36,048 
how much she loves me one of the two, but I'm so blessed to have 
her in my life. And 
 
432 
00:37:36,048 --> 00:37:41,048 
I've had a lot of crazy ideas over my 30 years and  
 
433 
00:37:41,048 --> 00:37:46,060 
probably more to come and every time I tell her about one, she's 
excited to  
 
434 
00:37:46,060 --> 00:37:51,080 
hear about it and and has some input on it, but she believes in me 
and let's  
 
435 
00:37:51,080 --> 00:37:56,088 
just say some of those ideas have been more out of left field than 
you'd expect. So I'm, I'm  
 
436 
00:37:56,088 --> 00:38:02,020 
super grateful and blessed to have her not to mention man. She 
freaking loves  
 
437 
00:38:02,028 --> 00:38:07,040 
my two kids and having a Grandma. A Nana as we call her; that 
 
438 
00:38:07,068 --> 00:38:12,068 
love your kids, could not be a more important one to me. And then 
to to my kids  
 
439 
00:38:12,068 --> 00:38:18,008 
as they get older. So man. I appreciate you asking me that because 
it's a chance for me to tell folks.  
 
440 
00:38:18,008 --> 00:38:23,040 
And share share how much I am grateful for. My mom is the best in 
the end. 
Speaker 1: Thanks for sharing  
 
441 
00:38:23,040 --> 00:38:28,048 
man. That resonates with me. Like you can't imagine we have two 
kids under 2  
 
442 
00:38:28,048 --> 00:38:33,048 
and same deal. Grammy is the best and everything. What you said, 
that reallly resonates with me. Thanks for  
 
443 
00:38:33,048 --> 00:38:38,068 
sharing man. Speaker 2: Absolutely. So if someone listen to this 
podcast  
 
444 
00:38:38,068 --> 00:38:43,068 
was like dude, I got to talk to Jason about Henry's original. I got to 
talk to him  
 
445 
00:38:43,068 --> 00:38:49,000 
about data. I want to ask him for his help And have him  
 
446 
00:38:49,000 --> 00:38:54,000 
consult for me in some way on the side. How does someone get a 
hold of  
 
447 
00:38:54,008 --> 00:38:59,028 
Jason Scott Arnold? What's the best way to do that? 
Speaker 1: I'm on all the socials  
 
448 
00:38:59,028 --> 00:39:04,028 
the ​LinkedIn​ to ​Twitter​ the Instagram, you know, I'm sure people 
can find  
 
449 
00:39:04,028 --> 00:39:09,040 
me these  
Speaker 2: days. I like it man. I like it. Well, listen folks.  
 
450 
00:39:09,080 --> 00:39:14,080 
Definitely reach out to Jason. If not for talking about data then to 
find out where you  
 
451 
00:39:14,080 --> 00:39:20,000 
can score some Henry's original when you're in California or 
wherever they're Distributing to and then  
 
452 
00:39:20,000 --> 00:39:25,000 
also just talk to him because he's a stand-up dude and I've had a 
great time building a friendship with them.  
 
453 
00:39:25,000 --> 00:39:30,020 
So make sure you do that Jason eyes. Super appreciate this time we 
had on the podcast  
 
454 
00:39:30,020 --> 00:39:35,028 
today and I'm looking forward to continuing to build our relationship 
and seeing what the hell you got up your  
 
455 
00:39:35,028 --> 00:39:40,048 
sleeve out there and Mendocino County going forward.  
Speaker 1: Thank you Charlie. Please come visit  
 
456 
00:39:40,048 --> 00:39:45,048 
us man. Who'd love to have you  
Speaker 2: out. Oh, I would love nothing more. You don't threaten 
me with a good time.  
 
457 
00:39:45,060 --> 00:39:50,068 
Let's just say that don't fill me with a good time.  
Speaker 1: That's a few months and we'll have plants  
 
458 
00:39:50,068 --> 00:39:55,068 
in the ground outside. And yeah, we could do the whole  
Speaker 2: walk. I'm into that. We're  
 
459 
00:39:55,068 --> 00:40:01,008 
going to have to schedule that. We're gonna have to schedule that. 
Brother so folks. Thanks again for listening to the show. I'm  
 
460 
00:40:01,008 --> 00:40:06,040 
grateful for you all those folks that are out there listening and taking 
this information in  
 
461 
00:40:06,040 --> 00:40:12,008 
grateful for your your ears and for you to listen to Jason my 
conversation.  
 
462 
00:40:12,008 --> 00:40:17,008 
If you do one thing before listen to the next one start clean and stay  
 
463 
00:40:17,008 --> 00:40:23,008 
clean. Thanks for listening folks. This is Charlie McKenzie and that 
was croptalk till  
 
464 
00:40:23,008 --> 00:40:25,068 
next time start clean. Stay clean. 
 

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CropTalk Podcast with host Charlie McKenzie starring Jason Scott Arnold E. 49 Data Collection in Cannabis Production

  • 1. C​ROP​T​ALK​ ​P​ODCAST  E​PISODE​ 49 - D​ATA​ C​OLLECTION​ ​IN ​C​ANNABIS ​P​RODUCTION WITH​ ​J​ASON​ S​COTT​ ​A​RNOLD 1  00:00:07,060 --> 00:00:12,060  Charlie McKenzie (HOST): [00:00:07] You're listening to crop-talk.  The podcast for agricultural leaders. The guest you'll hear on the    2  00:00:12,060 --> 00:00:18,000  show, are experimenting with new ideas and tactics. There in the lab.  The greenhouse.    3  00:00:18,000 --> 00:00:23,008  Or field. Getting their hands dirty.And making agriculture prosper    4  [00:00:22] You'll hear about    5  00:00:23,008 --> 00:00:28,028  their Innovations. Successes. And challenges. But more importantly,  how    6  00:00:28,028 --> 00:00:33,028  they overcame. My name is Charlie Mackenzie. And I'm your host.  Let's talk    
  • 2. 7  00:00:33,028 --> 00:00:38,040  crops. What's up folks Charlie Mackenzie here with [00:00:37]  another episode     8  00:00:38,040 --> 00:00:43,088  of crop Talk podcast. Today is December 30 actually and     9  00:00:44,000 --> 00:00:49,008  I'm excited because we're winding down the year, but this is a  podcast that     10  00:00:49,008 --> 00:00:54,028  I've been waiting to record because I've got someone on that. I'm  excited to have this conversation with.    11  00:00:54,028 --> 00:00:57,088  And that's Jason Scott Arnold. He's the senior director.      12  00:01:00,080 --> 00:01:05,088  Jason's on to talk about– you know understanding why capturing  data is important    13  00:01:05,088 --> 00:01:11,068  to the success of your next cannabis crop. And data is massively  important. Why     14 
  • 3. 00:01:11,068 --> 00:01:17,000  you're capturing it is always a question. What to capture is definitely  a question. How to use    15  00:01:17,000 --> 00:01:22,000  that information. Analyze it. And then correlate the things is a whole  different story that most of    16  00:01:22,000 --> 00:01:27,040  the population, and especially in the growing environment aren't  necessarily thinking about. So    17  00:01:27,040 --> 00:01:32,068  this podcast is specifically to bring up some of these topics. To talk  about what– what's some of the data that    18  00:01:32,068 --> 00:01:38,040  you can capture and why it's important to you. To create that– that  best    19  00:01:38,040 --> 00:01:43,048  cannabis crop each and every time that you grow. You know this  time, it's– it's perfect; quote  20  00:01:43,048 --> 00:01:48,068  un-quote. As perfect as the grower will allow it to be, or we'll go out  to be the next time. It's going to be even more perfect.    21  00:01:48,068 --> 00:01:54,000 
  • 4. So that's the goal of capturing data. So again, I'm going to shut up.  And    22  00:01:54,000 --> 00:01:59,000  let Jason get into it, Jason, how are you doing today man?  Jason Scott Arnold: I'm doing awesome. Thanks Charley,     23  00:01:59,000 --> 00:02:04,020  I wish you wouldn't shut up. You know a lot about data capture. And  I'm excited to talk to you about it.  Charlie McKenzie: Right on brother    24  00:02:04,020 --> 00:02:09,028  I'm excited to have this conversation. We will we'll both be talking  and     25  00:02:09,028 --> 00:02:14,040  reminiscing on how important it is and how some of the data we  captured in the past taught us how    26  00:02:14,040 --> 00:02:19,040  to grow a better crop. For me specifically, a lot of it's about how to  control more bugs,     27  00:02:19,040 --> 00:02:24,088  or get more yield. But, I think there's a lot of things that we can be  learning    28 
  • 5. 00:02:24,088 --> 00:02:30,008  from data. And also learning from each other. So Jason, stoked to  have you on. In a very    29  00:02:30,008 --> 00:02:35,008  quick, 30 seconds or less, share with me, and the listeners a bit about  yourself.    30  00:02:35,008 --> 00:02:40,048  You know, where you came from, in terms of growing cannabis. And  what you're up to these days.  Speaker 1: So I     31  00:02:40,048 --> 00:02:45,060  So, I was born and raised in Dallas, Texas. Spent thirty years there.  Started cultivating cannabis    32  00:02:45,060 --> 00:02:50,060  there. Illegally, of course. About three years ago, I got my start in    33  00:02:50,060 --> 00:02:55,068  legal Market. We packed up our lives in Texas. Moved to Colorado.  And I took an entry level    34  00:02:55,068 --> 00:03:00,068  position with a large multi-state operator. From there, I was  promoted to    35 
  • 6. 00:03:01,000 --> 00:03:06,000  a corporate trainer and auditor. And it afforded me the opportunity  to travel across    36  00:03:06,000 --> 00:03:11,040  the US and Canada. Auditing grows and training cultivators  on how to cultivate at scale. And then after that, left that company.  Moved to Northern California where I am currently serving as Senior  Director of Cultivation at Henry's Original. We grow sungrown  cannabis, some of the best flower in the world. We also are well  known for our pre-rolls.      37  00:03:11,040 --> 00:03:16,040  on how to cultivate at scale. And then after that, left    38  00:03:16,040 --> 00:03:21,060  that company. Moved to Northern California where I am currently  serving as Senior Director of Cultivation    39  00:03:21,080 --> 00:03:27,008  at Henry's Original. We grow sungrown cannabis, some of the best  flower in       40  00:03:27,008 --> 00:03:32,020  the world. We also are well known for our pre-rolls.    Charlie McKenzie: I love it man.    
  • 7. 41  00:03:32,060 --> 00:03:37,088  Sungrown cannabis. That's– treat to say the least, especially where    42  00:03:37,088 --> 00:03:42,088  you're at right now. And, I can imagine being all over the country  and    43  00:03:42,088 --> 00:03:48,008  in North America looking at different cannabis operations; there's  something quite    44  00:03:48,008 --> 00:03:53,020  special and unique about it; about the crop that you're    45  00:03:53,020 --> 00:03:58,080  growing in that part of the country    Speaker 1:That is an understatement. The Emerald Triangle  46  00:03:58,080 --> 00:04:04,008  is definitely renowned for passion cultivators.       47  00:04:04,008 --> 00:04:09,040  And terroir. The land. The air. The lights. The cold nights. Everything  that goes into producing   48  00:04:09,040 --> 00:04:14,080  that really high-quality cannabis flower. 
  • 8.   Speaker 2: Oh     49  00:04:14,080 --> 00:04:19,088  What a treat it must be. But,– it's only a treat if you're able to  50  00:04:20,000 --> 00:04:25,028  continually produce a quality crop. In producing that quality crop,  in my opinion starts with       51  00:04:25,028 --> 00:04:30,040  understanding what you're doing what you've done and what you're  going to do in the future. And so,     52  00:04:30,040 --> 00:04:35,068  capturing data, is very important to me. And I know, it's important  to you    53  00:04:35,068 --> 00:04:40,068  actually, as time goes on, it's starting to become a Hot Topic. I think  it's going to     54  00:04:40,068 --> 00:04:45,068  be massively more important as we see margins continually shrink  and more    55  00:04:45,068 --> 00:04:51,008 
  • 9. commoditization as full legalization occurs over the next few years.  Wishful    56  00:04:51,008 --> 00:04:56,020  thinking cross my fingers on that one coming.     57  00:04:56,020 --> 00:05:01,088  But all that being said. The data. It's so important. If you're going to  continually    58  00:05:02,040 --> 00:05:07,048  produce a quality crop. Be in compliance. And also, have a margin  59  00:05:07,048 --> 00:05:12,080  that's going to feed your business for the future. So Jason, give me  a little bit of     60  00:05:12,080 --> 00:05:18,020  your opinion on what kind of data— what data is a grower    61  00:05:18,020 --> 00:05:23,028  looking to be focused on when it comes to, you know, their entire  operation. What should they start with?  62  00:05:23,028 --> 00:05:28,028  Where are they even looking at? What data is important?  Jason Scott Arnold: important? That is a really     63  00:05:28,028 --> 00:05:33,028 
  • 10. That is a really good question and so, you know, I think that it's a  case-by-case kind of dea  64  00:05:33,028 --> 00:05:38,028  l, you know, if it's going to depend on your cultivation methodology.  Are you growing indoor or     65  00:05:38,028 --> 00:05:43,028  Greenhouse We have a little more control over the environment. Are  you growing full term outdoor?  66  00:05:43,068 --> 00:05:48,080  I also think final product probably plays a little bit of consideration  when    67  00:05:48,080 --> 00:05:53,088  understanding what types of data to capture. Are you growing for  biomass? Are you growing for  68  00:05:54,008 --> 00:05:59,008  top-shelf flower? Because those data points might change  depending on your methodology      69  00:05:59,008 --> 00:06:04,008  . If you're somebody who is biodynamic. Or a Korea natural farmer  type,     70  00:06:04,008 --> 00:06:09,008  maybe not as keyed in on certain inputs fast. If you're using bottled  nutrients  
  • 11.   71  00:06:09,008 --> 00:06:14,020  still raw salt, you might be a little more keyed into those kind of  inputs, but I think     72  00:06:14,020 --> 00:06:19,060  as far as data points that everybody should be recording our things  around cultivar around     73  00:06:19,060 --> 00:06:24,068  yield, Around placement in the garden or greenhouse. those are     74  00:06:24,068 --> 00:06:29,088  sort of the bare minimums to– start recording. I think   75  00:06:29,088 --> 00:06:34,088  I think that the gold standard is to try and work back to your cost of  goods sold. Because, as you hit the nail    76  00:06:34,088 --> 00:06:40,028  on the head Charlie. The cost of cannabis is going to continue to  decline. As more and more people     77  00:06:40,040 --> 00:06:45,080  learn how to cultivate at scale; more supply. Lower price.    78  00:06:45,080 --> 00:06:50,080 
  • 12. so everybody is going to have to get a good handle on it. How much  does it cost to produce   79  00:06:50,080 --> 00:06:56,000  their pound? Their units? And you were asking 'what data points'?  And I guess,    80  00:06:56,028 --> 00:07:01,068  it's a really broad questions. I guess– I think that you know, there  needs to be a holistic     81  00:07:01,068 --> 00:07:06,088  look. And so, at a minimum, they need to be focused on cultivar.  Yields.   82  00:07:06,088 --> 00:07:12,008  And placement in the garden. And then beyond that. I think there's a  ton of operational data     83  00:07:12,020 --> 00:07:17,028  that you can overlay on top of that to gain deeper insight. Whether  that's environmental conditions.     84  00:07:17,068 --> 00:07:22,068  Nutrients. What is your fertility management strategy. Light  intensity. Other     85  00:07:22,068 --> 00:07:27,068  environmental conditions. Temperature. Humidity. The BPD ; blah  blah blah 
  • 13. Charlie McKenzie: No. Yeah,     86  00:07:27,068 --> 00:07:32,068  Absolutely. So, is there a big difference would you say between why   87  00:07:32,068 --> 00:07:37,088  a grower would capture one piece of data versus the other. If  they're, say easier to capture and try and maniputate versus, say  that of a controlled    88  00:07:37,088 --> 00:07:43,000  environment? Versus, say that of an outdoor operation?      89  00:07:43,000 --> 00:07:48,080  to capture and try and maniputate versus, say that of a controlled  environment? Versus, say that of an outdoor operation?  Speaker 1: That is     90  00:07:48,0good 80 --> 00:07:53,088  That is a really good question. So working here in Mendocino. We  have several cultivation sites   91  00:07:53,088 --> 00:07:59,028  that are extremely remote start. That are very far removed from  town.    92  00:07:59,028 --> 00:08:04,028  From internet. And so, it's hard to automate things like temperature  93 
  • 14. 00:08:04,028 --> 00:08:09,028  and humidity captured. There's lots of great tools out there. And  there are some that might work with cell       94  00:08:09,028 --> 00:08:14,028  service for us down in the valley.  95  00:08:14,048 --> 00:08:20,028  Where our Nursery Greenhouse     96  00:08:20,040 --> 00:08:25,080  to capture environmental data against our remote farm on the hill.       97  00:08:25,088 --> 00:08:31,008  To capture the same information. We just don't have the same  infrastructure. And so    98  00:08:31,008 --> 00:08:36,008  know things like​ temperature, humidity, light intensity, airflow.     99  00:08:36,008 --> 00:08:41,020  Those things are a little bit easier to capture in a greenhouse and  there's lots of tools.    100  00:08:41,080 --> 00:08:46,080  Built into your greenhouse data management platform or  third-party that allow  
  • 15.   101  00:08:46,088 --> 00:08:51,088  for easy to capture information where it's not a manual process.  You're not having to   102  00:08:52,028 --> 00:08:57,068  grab a ​Data Logger​ off the wall and plug it into the computer and  download that information.    103  00:08:58,008 --> 00:09:03,008  Speaker 2: Yeah. I know that that's a good explanation Jason. So  before we get into how a 104  00:09:03,008 --> 00:09:08,048  grower can you know capture and analyze data in one of those  platforms or     105  00:09:08,048 --> 00:09:13,068  it were using their environment control system. I guess. My question  would be     106  00:09:13,068 --> 00:09:18,080  how important is it for a grower that can't access any sort of,    107  00:09:18,080 --> 00:09:24,008  automated collection of the data to actually go out there; and     108  00:09:24,008 --> 00:09:29,028  try to record data on their own manually to get that information in  their books  
  • 16.   109  00:09:29,028 --> 00:09:34,040  and have it, for instance. when you guys are talking about the the  location that remote     110  00:09:34,040 --> 00:09:39,040  location that you have out there. What's the data that you want to  record? No matter what     111  00:09:39,040 --> 00:09:44,048  even if it's a pain in the ass to record. What data are you recording  out there? No matter what that     112  00:09:44,048 --> 00:09:50,008  you think that every grower, no matter if they're growing in  Timbuktu or growing in the in the nicest vertical     113  00:09:50,008 --> 00:09:55,008  Farm in the world. What should they be recording   Speaker 1: that is a really good question.    114  00:09:55,008 --> 00:10:00,008  And so, you know, obviously anything related to integrated Pest  Management that includes scouting     115  00:10:00,008 --> 00:10:05,048  any sort of mixing or applications that take place. I personally want  anything related to  
  • 17.   116  00:10:05,048 --> 00:10:11,008  to fertigation. So if you're irrigating I want to know how many  gallons ​you are irrigating     117  00:10:11,020 --> 00:10:16,028  what areas were irrigated what the ​ph and EBC ​of mixes. What the     118  00:10:16,060 --> 00:10:21,060  contents of that mix were and then after that 24 hours later. I would  like     119  00:10:21,068 --> 00:10:26,080  an analysis of the ph and EBC of the media as well. I think, for an  outdoor farm. Those     120  00:10:26,080 --> 00:10:32,000  are the things that I would say are a necessity beyond that, there  are some things     121  00:10:32,000 --> 00:10:37,000  that you could capture but for me, that's the meat and the potatoes.   Speaker 2: Oh, that's great. Now that's     122  00:10:37,000 --> 00:10:42,000  gold and I appreciate you explaining that from your perspective  having done a lot    
  • 18. 123  00:10:42,000 --> 00:10:47,028  of controlled environment having done a lot of, highly controlled  environment having done a lot of     124  00:10:47,040 --> 00:10:53,000  greenhouseNow doing a lot of outdoor. And greenhouse hybrid.  That's good information    125  00:10:53,000 --> 00:10:58,008  for folks that are kind of like 'uhhh— data. I don't even know what  I'm supposed to be thinking about.    126  00:10:58,008 --> 00:11:03,028  or talking about." That gives them a little bit of frame of reference  of where to start.     127  00:11:03,028 --> 00:11:08,040  Why do I start capturing data; and I personally think, now tell me  what you think Jason, that   128    00:11:08,040 --> 00:11:13,080  that once you start capturing some data and you're consistent with  it you;    129  00:11:14,000 --> 00:11:19,068  even if you're not really trying to analyze it you start to see trends  that you're like, oh    
  • 19. 130  00:11:20,008 --> 00:11:25,008  wow, that's why that happened and then data becomes so much  more valuable to you and     131  00:11:25,008 --> 00:11:30,020  then honestly as a cultivator if you've got any salt about you data  becomes a little     132  00:11:30,020 --> 00:11:35,020  bit. Addictive. Because that means you're a better grower  Speaker 1: absolutely data can really help     133  00:11:35,020 --> 00:11:40,040  confirm those instincts. It can help ​quantify the impacts ​of all these  variables that were talking     134  00:11:40,040 --> 00:11:45,040  about and so, you'd ask what variables are important and really it  could be any     135  00:11:45,040 --> 00:11:50,040  of those variables that go into ​influence the growth of the plant ​and,  there is     136  00:11:50,040 --> 00:11:55,040  a ton of different variables. And so, particularly for an outdoor farm,  we try to really stay focused on the things that are going to   
  • 20. 137  00:11:55,040 --> 00:12:01,028  impact the plant growth.   Charlie McKenzie: Hmm. That's that is great. That is great. So Now     138  00:12:01,028 --> 00:12:06,040  now getting past, kind of, what data we could be collecting. And  what data might be   139  00:12:06,040 --> 00:12:11,068  right for each cultivator to collect his is kind of up to them. And also  based on their context.     140  00:12:11,068 --> 00:12:16,088  And situation. Just like any, you know, Pest Management program.  Or any nutrient program. You can't just    141  00:12:16,088 --> 00:12:21,088  go walk into a greenhouse and say boom. You need to do this. And  you need to feed this way.     142  00:12:21,088 --> 00:12:27,000  It's one of those things where– what, what data is important to you?  And what your outcome is?     143  00:12:27,020 --> 00:12:32,028  Your contextual, unique situation and I think each     144  00:12:32,028 --> 00:12:37,028 
  • 21. person needs to evaluate what data they need to collect. But, the  key to all of this, this    145  00:12:37,028 --> 00:12:43,008  first part of this conversation is you need to be collecting data.    146  00:12:43,008 --> 00:12:48,008  you've decided that you're going to collect data and you figured out  what these data points     147  00:12:48,008 --> 00:12:53,028  are and how you're going to be consistent with it. You've got to  figure out a way to organize it. And so,     148  00:12:53,028 --> 00:12:58,060  you know, we talked a little bit about capturing. Some ways you can  do it automated with     149  00:12:58,060 --> 00:13:03,060  Sensors. Some ways, it's You picking up the pen and paper and  writing it    150  00:13:03,060 --> 00:13:08,060  down. Sometimes it might be using a computer. Jason what's your     151  00:13:08,060 --> 00:13:14,000  opinion and your experience on how a grower could capture and  analyze some of  
  • 22.   152  00:13:14,000 --> 00:13:19,008  the data points you just described? And how do they then take that  and use     153  00:13:19,008 --> 00:13:24,008  it to make some decisions later?   Speaker 1: That's a really good question. You know if you collect the     154  00:13:24,008 --> 00:13:29,040  data and you can't utilize it, is it worth collecting? Probably not. And  so I     155  00:13:29,040 --> 00:13:34,040  I think the most important thing– do not collect it on paper. At  minimum;    156  00:13:34,040 --> 00:13:39,080  High Five. Ha. Ha. Ha.    157  00:13:39,080 --> 00:13:45,008  I can't even tell you how many (making a whipc snapping sound)  really talented growers I know, that write stuff down on paper,     158  00:13:45,008 --> 00:13:50,040  and then it's almost impossible to use that information. Whereas if  they were to just plug it into a spreadsheet from the get-go we    
  • 23. 159  00:13:50,040 --> 00:13:55,060  would be able to I see if we can make charts and graphs and we  could dive into it to see     160  00:13:55,080 --> 00:14:00,080  what's going on. And, umm, all it takes is plugging it into something  like Google Sheets© or     161  00:14:00,080 --> 00:14:06,008  Excel™. If I could drive one thing home over this podcast, it's–  DON'T write it down on paper.     162  00:14:06,008 --> 00:14:11,040  put it in a spreadsheet. And then from there you can you can do a lot  with it and     163  00:14:11,040 --> 00:14:16,040  you might get to the point where you're collecting a lot of data.  You've outlined what data points you're going to collect you've     164  00:14:16,040 --> 00:14:21,040  outlined who's going to collect them. And at what point in the  process they're going to collect them. Then you do it and     165  00:14:21,048 --> 00:14:26,060  and you go through the season and now you've got a data set that  you can actually crunch    
  • 24. 166  00:14:26,060 --> 00:14:31,088  numbers on to see what has impacted your crop and at that point  you might realize, you     167  00:14:31,088 --> 00:14:36,088  know, I got a couple spreadsheets going. It's not super user-friendly  it's time     168  00:14:36,088 --> 00:14:42,000  for me to find a system and at that point, there's lots of     169  00:14:42,000 --> 00:14:47,028  different kinds of systems out there that range from cultivation  management     170  00:14:47,028 --> 00:14:52,040  platforms are greenhouse management platforms Inventory  management platforms. Like we talked about     171  00:14:52,040 --> 00:14:57,048  there's some that are just sensor platforms that are really powerful  and then then you have the old school     172  00:14:57,048 --> 00:15:02,048  monolithic erps. And so, ​I think it's important to evaluate what your  needs are     173 
  • 25. 00:15:02,060 --> 00:15:08,008  identify the key features that meet those needs and then evaluate  which platforms,     174  00:15:08,028 --> 00:15:13,028  you know are cost-effective. I would also like to say that ​there's a lot  of platforms out there that are     175  00:15:13,028 --> 00:15:18,028  cannabis specific that are really expensive for what they are​. And so  it pays to do your research in     176  00:15:18,028 --> 00:15:23,040  this area before jumping into whichever platform might Be hot.   Charlie McKenzie: No, man, there was     177  00:15:23,040 --> 00:15:28,048  like three to five pieces of gold in that in that answer you     178  00:15:28,048 --> 00:15:33,080  just had their so I'll go with the first piece, you described     179  00:15:34,068 --> 00:15:39,068  not writing things down. Yeah. Okay. It makes sense. If you got to  write something down to then take     180  00:15:39,068 --> 00:15:44,080 
  • 26. it to the computer to enter the data to then analyze it go for it. You  can have your pen and paper     181  00:15:44,080 --> 00:15:49,088  but if you want to actually make some decisions based on your  data, you got to get it into a way that     182  00:15:49,088 --> 00:15:55,008  you can manipulate it and compare it and correlate it with other  pieces of data or     183  00:15:55,008 --> 00:16:00,008  other things that you've analyzed. And so that's a huge piece. But  what I love that     184  00:16:00,008 --> 00:16:05,048  you said is ​you need to just start collecting data ​and ​doing it in a  spreadsheet     185  00:16:05,048 --> 00:16:10,048  and seen how you do it. Who does it? Well the consistency of     186  00:16:10,048 --> 00:16:15,048  it. Are you actually capturing it? Are you just half-assing it because  I've seen     187  00:16:15,048 --> 00:16:20,048 
  • 27. it personally. I think I've been a victim of this with other software  solutions for my     188  00:16:20,048 --> 00:16:25,060  business and and even as a young grower or some things that I was  looking at. A tool     189  00:16:25,060 --> 00:16:30,060  is not going to make you collect data. The tool, if the     190  00:16:30,060 --> 00:16:35,060  tool is automated and it's collecting data, then great. Yes, it will  collect the data then you've got to     191  00:16:35,060 --> 00:16:41,008  go review it and analyze it but if if you're thinking that buying a  cultivation management     192  00:16:41,008 --> 00:16:46,048  software platform is magically going to give you the ability to see  how     193  00:16:46,060 --> 00:16:52,008  your EC and pH readings affected your crop over the course of the  past three months    194  00:16:52,028 --> 00:16:57,060  and you're not going to do any PH or ECG readings; well...  
  • 28. Speaker 1: you     195  00:16:57,060 --> 00:17:02,060  know– you have to be committed. And have this mindset— and I  think      196  00:17:02,060 --> 00:17:07,060  that's what you were getting at— is that by– just starting to collect  and start   197    00:17:07,060 --> 00:17:12,060  looking at your crop from an objective point of view. Like hey     198  00:17:12,080 --> 00:17:17,080  what data can I collect.? Just getting into that, is the first step in.    199  00:17:17,080 --> 00:17:22,080  Do NOT waste your time, nor money on going and saying, 'you know  what, I've never collected data, and  200  00:17:22,080 --> 00:17:27,080  I need a $5000 a month software Solution,    Speaker 1: Please. Please don't do that. You hit the     201  00:17:27,080 --> 00:17:33,020  the nail on the head. It's consistency .It's defining those data points.  Defining who is responsible.  
  • 29.   202  00:17:33,020 --> 00:17:38,028  And when collection happens. And making sure it's done the same  way each time. Because to your point,     203  00:17:38,028 --> 00:17:43,028  if the tool is not used properly and you have different people  inputting the information in different ways; you     204  00:17:43,028 --> 00:17:48,068  know– garbage in; garbage out. You can have the best tools, but if  you are not using them properly, you;re not going to be      205  00:17:48,068 --> 00:17:54,068  any better off.    Charlie McKenzie: There you go. That's a really good point. About the  fact that training     206  00:17:54,068 --> 00:17:59,068  the individuals. And knowing how they're collecting the data. The  way that     207  00:17:59,068 --> 00:18:04,080  the data is collected in the samples are prepared as just as  important as the actual result. So     208 
  • 30. 00:18:04,080 --> 00:18:09,088  I think that that's another good point and the other gold nugget that  I want to     209  00:18:09,088 --> 00:18:15,020  hit on in your answer there Jason. The fact that you do have to do  due diligence in terms     210  00:18:15,020 --> 00:18:20,060  of what the platform is actually offering if you're going to go with a  cultivation management software  1 211  00:18:20,060 --> 00:18:25,088  system you're going to Go with with some sort of Erp one that  integrates with a bunch of different     212  00:18:25,088 --> 00:18:31,008  platforms. You got to look at it from the perspective of one is this  actually going to do     213  00:18:31,020 --> 00:18:36,040  is this built right? Now? For what I need? Or is this something that  they're going to have to build on the Fly     214  00:18:36,040 --> 00:18:41,048  and test for us? Because those are two completely different things. if  you understand anything about software     1 "Artemis | Market Leading CMP for Enterprise Greenhouses ...." ​https://artemisag.com/​. Accessed 6 Feb. 2020.
  • 31. 215  00:18:41,080 --> 00:18:46,080  and I don't. I didn't understand a lot about software myself. So let's  just say I learned the hard way. In     216  00:18:46,080 --> 00:18:52,000  a few different situations. Number two is that there's a cannabis Tax   2   217  00:18:52,000 --> 00:18:57,048  and people don't want to talk about it as a vendor or someone  providing software or nutrients     218  00:18:57,048 --> 00:19:02,048  or lights or even a service man. Like we should not     219  00:19:02,048 --> 00:19:07,048  be looking at cannabis as this industry to take advantage of as  vendors and I     220  00:19:07,048 --> 00:19:12,060  think that there are culprits out there who are definitely responsible     221  00:19:13,000 --> 00:19:18,008  when it comes to saying hey, I'm going to take advantage of these  Growers and charge them three times the amount     2 "Tax Guide for Cannabis Businesses - CDTFA - CA.gov." https://www.cdtfa.ca.gov/industry/cannabis.htm​. Accessed 6 Feb. 2020.
  • 32. 222  00:19:18,008 --> 00:19:23,008  of what we charge another high value crop grower and I think that  that's something to     223  00:19:23,020 --> 00:19:28,040  really consider. You know, when it comes down to you, you looking  for a system. Am I     224  00:19:28,040 --> 00:19:33,048  paying a cannabis tax and and or should I be looking at     225  00:19:33,048 --> 00:19:38,048  a system that was not developed for cannabis? Those are good  questions some that   Speaker 1: Hit the nail     226  00:19:38,048 --> 00:19:43,060  on the head.   Speaker 2: Yeah, so tell me tell me more about your thoughts on  that.  Speaker 1: I couldn't have said it any better. I mean,     227  00:19:44,028 --> 00:19:49,048  I would be leery of people who are only in the Cannabis space  because you know cannabis is unique     228  00:19:49,048 --> 00:19:54,068 
  • 33. crop in the sense that it's very high value that it's been prohibited for  so long.     229  00:19:55,008 --> 00:20:00,060  Other than that, the pieces of information that we need to collect  are going to be more or less the same     230  00:20:00,060 --> 00:20:05,080  as you know, any perennial as any annual, any     231  00:20:06,000 --> 00:20:11,008  yep any of I'm having a brain fart, what are the red     232  00:20:11,068 --> 00:20:16,068  Christmas flowers   Speaker 2: poinsettia? Yeah poinsettia, that it was then,   Speaker 1: you know, it's the same as   Speaker 2: Poinsettia. So     233  00:20:16,068 --> 00:20:21,080  it couldn't be more simple. It could not be more similar than  poinsettia. It's yeah.     234  00:20:21,080 --> 00:20:26,088  Every day, I grew; well let's just say I grew too many poinsettias in  my life. So I believe yeah, I'm happy     235  00:20:26,088 --> 00:20:32,008 
  • 34. to be in cannabis.   Speaker 1: That's good. Yeah, and so I would be super leery     236  00:20:32,008 --> 00:20:37,008  of any product that is only in the Cannabis space. There are some  really strong options that are     237  00:20:37,008 --> 00:20:42,020  in the corner and space and I will start my    238  00:20:42,020 --> 00:20:47,060  eye to cannabis only solutions just because there is a propensity to     239  00:20:47,080 --> 00:20:52,080  be higher price than similar solutions for Similar Technologies.     240  00:20:52,088 --> 00:20:58,028  Speaker 2: Yeah, that's that's good. I appreciate that nugget there.  So we're we've talked about     241  00:20:58,040 --> 00:21:04,028  how your how what you're looking for in terms of data. Why your  grow needs to have a contextual     242  00:21:04,028 --> 00:21:09,040  plan based on what Data you are going to collect who's going to  collect it when they're going to collect it. The    
  • 35. 243  00:21:09,040 --> 00:21:14,040  expectations of collection. The procedures for collection. And then  you're going to collect it.    244  00:21:14,040 --> 00:21:19,040  Not on paper. But you're going to get it into a system. Whether it's  Excel™ Google Sheets™ or some sort     245  00:21:19,040 --> 00:21:24,080  of platform that can help you record it. Store it. Analyze     246  00:21:24,080 --> 00:21:29,080  It. Manipulate it. Whatever that may be. Okay, so that's all good and  well, but now     247  00:21:30,040 --> 00:21:35,040  what are we going to do with that data to make ourselves better?  And that's the question     248  00:21:35,040 --> 00:21:40,040  I have for you. Jason is how does a grower take all of this analysis?    249  00:21:40,060 --> 00:21:45,068  And take all of this– this data; Maybe there is some machine  learning? Maybe,     250  00:21:45,068 --> 00:21:50,088 
  • 36. one of these platforms gave you that capability? if you have enough  data, how does a grower take    251  00:21:50,088 --> 00:21:56,020  that information and action upon it? For next time. So that they  improved their crop.    252  00:21:56,040 --> 00:22:01,060  Crop over crop.    Speaker 1: There's lots of ways to take the information and     253  00:22:01,060 --> 00:22:06,088  turn it into insight. And so it again kind of goes back to what the     254  00:22:07,000 --> 00:22:12,000  use case is. So it could be some as simple as we've identified that     255  00:22:12,000 --> 00:22:17,000  the blue dream does really well in room 3 and room 3 seems to be     256  00:22:17,000 --> 00:22:22,000  On average 10 degrees warmer than room 2. And so, you know all it  took for     257  00:22:22,000 --> 00:22:27,000  us was to look at the numbers and see that this is the one variable.  that is consistently different. It is  
  • 37.   258  00:22:27,000 --> 00:22:32,000  probably driving this difference in yield. And so in that scenario, it's  super easy to just     259  00:22:32,028 --> 00:22:37,040  grow blue dream in room 3. And then you're going to see an increase  in yield. Whereas, you know other     260  00:22:37,040 --> 00:22:42,040  scenarios, say you want to get off of bottled nutrients. If you realize  that you're spending a ton of     261  00:22:42,040 --> 00:22:47,040  money just shipping water and you want to move to something more  cost-effective, you     262  00:22:47,040 --> 00:22:52,040  know, you could set up a trial where you compare the two. And then     263  00:22:52,040 --> 00:22:57,048  from there analyze the information. Make sure that you know, your  yield needs     264  00:22:57,048 --> 00:23:02,060  to be with with the new fertility program; that you're not sacrificing     265 
  • 38. 00:23:02,068 --> 00:23:07,068  quality in terms of cannabinoid content or terpene content and     266  00:23:07,068 --> 00:23:12,068  then, evaluate it. And make sure it's the right decision. And then you  implement it. It's as simple     267  00:23:12,068 --> 00:23:17,080  as replacing the liquid ferts with something more cost-effective.   Speaker 2: Yeah,    268  00:23:17,080 --> 00:23:22,088  that's a good way to put it. I like that explanation. Something I just  thought of     269  00:23:22,088 --> 00:23:28,000  is, in the day of information that we're in the     270  00:23:28,000 --> 00:23:33,008  Cannabis cultivators that consider themselves     271  00:23:33,020 --> 00:23:38,048  also the leader and director of the the quote-unquote     272  00:23:38,060 --> 00:23:43,068  internal R&D Department. Those are the folks that are that are  going to succeed    
  • 39. 273  00:23:43,068 --> 00:23:48,080  because the guys that are doing it just the same way that they've  done it every time and     274  00:23:48,080 --> 00:23:53,080  their subjectively guessing on how that got better. Oh, yeah, man, it  was because of     275  00:23:53,080 --> 00:23:58,080  this or that I did on this. That's just not it. That's not something that  you can bet the     276  00:23:58,080 --> 00:24:04,028  farm on. And I think the way we're seeing this industry go; is that  people     277  00:24:04,028 --> 00:24:09,048  want to understand where their investment is going. People want to  understand. Analyze it and I     278  00:24:09,048 --> 00:24:14,048  think that that is important for any cannabis cultivator that that's     279  00:24:14,048 --> 00:24:19,068  hopefully trying to get into it. Or that's in it right. Now. ​My word of  advice is you need to consider yourself     280 
  • 40. 00:24:19,068 --> 00:24:25,028  the lead of an R&D team. And use the things the tools and     281  00:24:25,028 --> 00:24:30,040  ideas. ​that Jason I've talked about here on this podcast and go out  there and say, you know what, even     282  00:24:30,040 --> 00:24:35,040  though I've got to run this, you know acre of crop. I also need to do  these trials because this is     283  00:24:35,040 --> 00:24:40,040  how I keep my job. I really think that that is how you continually     284  00:24:40,040 --> 00:24:45,040  year-over-year keep your job and hopefully get better at the same  time and have better crops.    285  00:24:45,040 --> 00:24:50,040  You've got it at your fingertips. Now the opportunity is yours, you  know,   Speaker 1: I     286  00:24:50,040 --> 00:24:55,060  couldn't agree more. Here at Henry's original we did a couple trials 3 over the summer runs     3 "Henry's Original." ​https://henrysoriginal.com/​. Accessed 6 Feb. 2020.
  • 41. 287  00:24:55,060 --> 00:25:00,060  and one was a nutrient trial. One was a methodology trial where  4   288  00:25:00,060 --> 00:25:05,060  we're expanding our native soil plantings. And so both of them  showed really promising and I know     289  00:25:05,060 --> 00:25:10,068  you and I Charlie have talked a lot about data points to capture  during the process, but we didn't     290  00:25:10,068 --> 00:25:15,068  talk a ton about Harvest post-harves t and oh yeah what that's 5 okay. I want to     291  00:25:15,068 --> 00:25:21,008  put it up, you know the stuff that we're recording during the the crop  is super.     292  00:25:21,028 --> 00:25:26,048  Important to that granular process Improvement and it's also the  foundation. It's     293  00:25:26,048 --> 00:25:31,068  4 "Trials | Methodology - Trials Journal - BioMed Central." https://trialsjournal.biomedcentral.com/submission-guidelines/preparing-your-manuscript/methodology​. Accessed 6 Feb. 2020. 5 "Welcome - UC Postharvest Technology Center." ​http://postharvest.ucdavis.edu/​. Accessed 6 Feb. 2020.
  • 42. the base of all the data they're going to collect further. But for me  personally, we grow smokable flower     294  00:25:31,068 --> 00:25:36,088  top shelf flower. It's in the clear jar and so things like visual appeal a  really important and so     295  00:25:37,008 --> 00:25:42,040  not until that flower is trimmed. Do I have a good idea of what yield     296  00:25:42,040 --> 00:25:47,040  actually was until you know, it could be two months down the road  and so it's really important to     297  00:25:47,040 --> 00:25:52,048  record that data and then to continue to record and there might be  insights. On the post-harvest side of things     298  00:25:52,048 --> 00:25:57,060  where you realize we can't keep running Sour Diesel because it's  largely we get smashed on the post-harvest     299  00:25:57,060 --> 00:26:02,060  side of things. It's just uneconomical and so, you know, we talked a  lot about the the growing side of things     300  00:26:02,060 --> 00:26:07,060 
  • 43. and you know, that's where my passion is. I know that's where your  passion is, but there's also a lot of of information     301  00:26:07,060 --> 00:26:12,068  that needs to be considered on the post-harvest side of   Speaker 2: things man. That's is     302  00:26:12,068 --> 00:26:17,088  as I said, that was pure gold before. But I guess that's Platinum.  Because when     303  00:26:17,088 --> 00:26:23,020  I get accurate, yeah, there you go. But here's the thing man when it  comes down to it. And how you and I just     304  00:26:23,028 --> 00:26:28,028  I just did it. You didn't do it you brought up the point. I did it where I  almost     305  00:26:28,028 --> 00:26:33,040  kind of skated over the fact that that post-harvest process is almost  if     306  00:26:33,040 --> 00:26:38,040  not ​more important​ than the actual growth. Yes. ​You can't have a  post-harvest     307  00:26:38,040 --> 00:26:44,008 
  • 44. process without a good crop, but you     308  00:26:44,008 --> 00:26:49,028  certainly can't have a good final crop without a good post Harvest  process. So     309  00:26:49,088 --> 00:26:55,008  yeah, that's that's a Really good point man, and I think actually  when I think about     310  00:26:55,008 --> 00:27:00,008  it it a lot of the data that you're collecting during the crop and on  the front end does     311  00:27:00,008 --> 00:27:05,048  not necessarily become relevant unless you're collecting that  post-harvest data.   Speaker 1: Exactly     312  00:27:05,048 --> 00:27:10,048  unless,you're going to fresh frozen or it's right for biomass. Definitely     313  00:27:10,048 --> 00:27:15,060  specific to each use case. But, I know tons of really good growers     314  00:27:15,060 --> 00:27:20,080  and I know a couple that have ruined their product on the post  harvest side of things.  
  • 45. 315  00:27:20,080 --> 00:27:26,020  It got too dry. They didn't control temperature and humidity. Just  threw it in a barn and now it smells like hay.    316  00:27:26,028 --> 00:27:31,040  I'm right there with you. I think that for me personally, my passions  is with the living plant and being     317  00:27:31,040 --> 00:27:37,000  able to manipulate those variables to get the best expression of that  plant possible.    318  00:27:37,048 --> 00:27:42,060  The post harvest stuff– ehhh– it doesn't light my fire, but it's super  319  00:27:42,060 --> 00:27:47,080  important to the final product. Right?  Speaker 2:Yeah. No, it's not it's not     320  00:27:47,080 --> 00:27:53,020  It's not it's not as burping a shit ton of containers is not something  321  00:27:53,020 --> 00:27:58,048  that I'm necessarily always excited for. But, at the same time   322  00:27:58,048 --> 00:28:03,088  I tell people all the time that are getting into the new smokable      323 
  • 46. 00:28:03,088 --> 00:28:08,088  hemp flower market. They're like "ahh man, we're going to get it out  of the barn. It's going to be dried perfectly to this moisture   324  00:28:08,088 --> 00:28:14,068  content. I am going to trim it up. Put it in these buckets for about a  week and then we're going to sell it." I'm like man– I     325  00:28:14,068 --> 00:28:19,068  think you're going to need to think about that whole process a little  bit more in detail. If you think you're going    326  00:28:19,068 --> 00:28:25,040  to get that amount of money per pound you think you're going to  get.      327  00:28:25,040 --> 00:28:30,080  Because it can be a sad sight man, when you've got a really good  grower that just hasn't never dialed in the post-harvest  328  00:28:30,080 --> 00:28:35,088  process. And you see that that go down from a wonderful crop to  what could have been an A+ to a C.     329  00:28:35,088 --> 00:28:41,060  Just like you described. Hanging in the bar and getting hay   330  00:28:41,060 --> 00:28:46,060  smell. Shit, this year man, I had guys that had the tobacco smell  because they hung it right after a  
  • 47.   331  00:28:47,020 --> 00:28:52,040  tobacco crop. So yeah, I know I know exactly what you're talking  about there. And and I think this whole     332  00:28:52,040 --> 00:28:57,048  point we're having right now is that actually an itch that folks that  are listening to    333  00:28:57,048 --> 00:29:03,020  this if they're interested in like "hey, man, I stumbled upon crop Talk  podcast somehow    334  00:29:03,020 --> 00:29:08,020  I found it on the bottom 100 craziest podcast list. And, and     335  00:29:08,020 --> 00:29:13,028  I found it on the the bottom 100 craziest podcast list. And and I'm  interested in listening to it. I've never done anything and I want to  get into the industry. What should I     336  00:29:13,028 --> 00:29:18,028  focus on? I don't have a green thumb. I don't know what the hell to  do in a greenhouse actually don't want to sweat my ass off in the  greenhouse.     337  00:29:18,028 --> 00:29:23,040  I don't want to be there all the time and spend my whole life  
  • 48.   338  00:29:23,040 --> 00:29:28,048  at the greenhouse. What can I do in the Cannabis industry?  Post-harvest processor? Right?     339  00:29:28,048 --> 00:29:34,020  Like that's someone who focuses. Let's get it dried. Let's     340  00:29:34,020 --> 00:29:39,028  get it trimmed. And let's get it cured. And let's get it packaged. And  whatever     341  00:29:39,028 --> 00:29:44,040  way that it needs to be; that's a job. And a very crucial one and  could     342  00:29:44,040 --> 00:29:49,040  be a position in and of itself. If someone decided to specialize in it.   Speaker 1: Absolutely.     343  00:29:49,040 --> 00:29:54,068  and any large scale Operation; to your point is going to have an  immense amount     344  00:29:54,068 --> 00:29:59,080  of work. And you know, typically one person is not going to be able  to do it on their own. And so they'll    
  • 49. 345  00:29:59,088 --> 00:30:05,000  need to be high level management who's making sure things are  done properly. The     346  00:30:05,000 --> 00:30:10,008  product doesn't get to dry before it's bucked. That things are turned.  And burped. And you know, all of that due     347  00:30:10,008 --> 00:30:15,020  diligence necessary to bring a high-quality smokeable  product-to-market.   Speaker 2: Yeah, buddy.     348  00:30:15,028 --> 00:30:20,068  Yeah, that’s definitely an opportunity for for folks out there listening     349  00:30:20,068 --> 00:30:25,080  and I think It's something, it gives me kind of a writedown on a  sticky note     350  00:30:25,080 --> 00:30:30,080  or episode my computer. Now, like “hey remember not to be an  idiot when it comes to post-harvest     351  00:30:30,080 --> 00:30:36,008  process. So I'm going to keep thinking about that as we gear up  because that's    
  • 50. 352  00:30:36,008 --> 00:30:41,020  an important one man. For sure. So, now now kind of getting back to  the     353  00:30:41,020 --> 00:30:46,040  to the more general side of things. When it comes to data, what     354  00:30:46,060 --> 00:30:52,028  what for you, like if there was something, some piece of data   355  00:30:52,040 --> 00:30:57,060  that you could collect; now, that you're not able to collect, for  whatever reason what would it be?    356  00:30:57,060 --> 00:31:02,068  Given the technology is not there yet for us to be able to collect that  data. Maybe it's just too difficult to collect it. Like     357  00:31:02,068 --> 00:31:07,088  what do you think some crazy piece of data that you want to see be  collected? That would be beneficial     358  00:31:07,088 --> 00:31:13,000  to you or some correlation of different data points. That would be  beneficial to you? Just off-the-cuff data points. Beyond what's  available. Just off the cuff data points    359  00:31:13,000 --> 00:31:18,040 
  • 51. Speaker 1: You know, that's a really that's an interesting question. I  haven't put a ton of thought into    360  00:31:19,020 --> 00:31:24,080  unique data points. Beyond what's available, because you and I  were talking about 30 megahertz     361  00:31:24,088 --> 00:31:30,000  before the podcast here and they have an amazing platform. That  takes     362  00:31:30,000 --> 00:31:35,028  everything I could possibly want to quantify and they give you  answers   363  00:31:35,028 --> 00:31:40,060  to do that where the best wind speed PH or EC. And intensity     364  00:31:40,060 --> 00:31:45,068  airflow. I mean, you know a really robust offering and so,     365  00:31:45,068 --> 00:31:50,088  know, I haven't put a ton of thought into it, you know, there might  be other things like dissolved oxygen and 30 megahertz might offer  that and so     366  00:31:51,020 --> 00:31:56,040  I would be wary of the over capture like we had talked about before  the podcaster.  
  • 52.   367  00:31:56,068 --> 00:32:03,020  It's easy these days to put a sensor everywhere and we     368  00:32:03,020 --> 00:32:08,020  really just over 70. Sensors for everything. And you get to the point  where the     369  00:32:08,020 --> 00:32:13,028  data is hard to use. It's almost inationable because you have so  much data. Do     370  00:32:13,028 --> 00:32:18,060  you really need 14 sensors in a 1,000 square foot     371  00:32:18,088 --> 00:32:24,000  flower room, probably not. And so I don't know. You know, that's a  good question. I for what it's worth. There     372  00:32:24,000 --> 00:32:29,020  are some really awesome tools out there sure there's some unique  ones like bricks or     373  00:32:29,060 --> 00:32:34,068  color flow meters that all right easy to automate but that's   Speaker 2: good. But     374 
  • 53. 00:32:35,020 --> 00:32:40,028  to   Speaker 1: that end, you know, there's things that personally I wish  that my operation was doing a     375  00:32:40,028 --> 00:32:45,028  better job of you know, like if we had the 30 megahertz platform, for  example, I would love to have light intensity     376  00:32:45,028 --> 00:32:50,028  sensors so we could adjust our VPD based on the actual light that's  being received and you     377  00:32:50,028 --> 00:32:55,040  know those kind of Answers would be really nice but you know, it's  not in the budget this year maybe next year.     378  00:32:55,060 --> 00:33:00,068  Speaker 2: Yeah. There you go. I mean there's always there's always  next year next crop and     379  00:33:00,068 --> 00:33:06,000  and proving why it's important, but I think I like your answer. That  was a very astute     380  00:33:06,000 --> 00:33:11,008  answer in my opinion in terms of like hey, man. Yeah, there's a lot of  stuff that I'm interested in kind of seeing but    
  • 54. 381  00:33:11,008 --> 00:33:16,008  it's not necessarily going to be a hundred percent relevant to me  growing a better crop. I think that's the     382  00:33:16,008 --> 00:33:21,028  question we have to ask ourselves and it's also questioned that new  companies that are trying   383  00:33:21,028 --> 00:33:26,048  to develop sensors or develop software that pairs with sensors or  develop     384  00:33:26,060 --> 00:33:32,000  software that just helps growers. Or is it is it Overkill? Is it  redundant?      385  00:33:32,000 --> 00:33:37,008  just inventing a solution to have a solution? You know, those are  important things     386  00:33:37,008 --> 00:33:42,028  to consider. Speaker 2: So I appreciate that answer for sure. Just  starting up     387  00:33:42,028 --> 00:33:47,068  To startup   Speaker 1: most goes are you going to say I think a lot of startups    
  • 55. 388  00:33:47,068 --> 00:33:52,068  who disappear within the first couple years, that's their problem. Is  doing something that     389  00:33:52,068 --> 00:33:57,088  maybe didn't necessarily need a solution just setting out to start     390  00:33:57,088 --> 00:34:03,008  it.   Speaker 2: Yeah, I understand completely. I definitely understand  completely so off     391  00:34:03,008 --> 00:34:08,020  off the wall completely out of left field when it comes to data. It  doesn't involve data at all.     392  00:34:08,020 --> 00:34:13,028  But I'm wondering who is someone or a group of people that you  are currently     393  00:34:13,028 --> 00:34:18,040  grateful for in your life or business? And why are you grateful for  that person or those     394  00:34:18,040 --> 00:34:23,048  people? Man   Speaker 1: first off I'm grateful for you Charlie. I thank you for  having me on to talk about this. 
  • 56.   395  00:34:23,048 --> 00:34:28,080  Speaker 2: Right on bro. Spearker 1: For sure. I could talk for an hour  about the people. I'm grateful for. I'm super     396  00:34:29,028 --> 00:34:34,048  thankful for my wife. I would not be able to follow my passion for  cannabis in to be on this incredible journey     397  00:34:34,048 --> 00:34:39,068  if it wasn't for her love and support. And then beyond that, I talked  to you about lots of friends and colleagues     398  00:34:39,080 --> 00:34:45,028  met in the industry and all of those guys are amazing. And you  know, I would not be here without those mentors.   Speaker 2: That's     399  00:34:45,028 --> 00:34:50,060  huge man. You know, what's interesting is that I tend to all the  cannabis. Motivators that I     400  00:34:50,060 --> 00:34:55,068  talked to or cultivators just in general growing crops there. There's a  common     401  00:34:55,068 --> 00:35:00,068  theme of how supportive the  
  • 57.   402  00:35:00,068 --> 00:35:05,068  spouses are to those Growers and how how important it is     403  00:35:05,068 --> 00:35:10,080  to The Growers that those spouses are there and being supportive to  them. Like     404  00:35:10,080 --> 00:35:16,000  it's like this person in their Corner when they've gotten punched 25     405  00:35:16,000 --> 00:35:21,000  times in the mouth. And they've got a cut above their eye. And the  ref Is about to call the    406  00:35:21,000 --> 00:35:26,020  fight, you know, you've got your spouse there in the corner saying  hey, “it's okay go to the greenhouse and see if those lights     407  00:35:26,020 --> 00:35:31,060  actually came on or not.”   Speaker 1: Right exactly. You hit the nail on the head.   Speaker 2: Yeah.     408  00:35:31,088 --> 00:35:37,020  No, that's that's it's really cool though. And I think that that is  something it takes a special    
  • 58. 409  00:35:37,048 --> 00:35:43,000  individual to be the partner of a greenhouse grower or a cannabis  cultivator     410  00:35:43,000 --> 00:35:48,020  or whatever it may be in the Horticulture field. So that's cool, man,  and I appreciate     411  00:35:48,020 --> 00:35:53,028  you sharing that I And it's a question. I like to I really like asking  people it's been one that I've     412  00:35:53,028 --> 00:35:58,040  added to every podcast here for the past. I think 10 or 12 episodes  and I     413  00:35:58,040 --> 00:36:03,048  love hearing their responses. So I appreciate that Jason.   Speaker 1: Can I turn it on you and ask you who     414  00:36:03,048 --> 00:36:08,068  you're   Speaker 2: grateful for? Oh, yeah, I like like this, you know,     415  00:36:08,068 --> 00:36:13,080  honestly man. I haven't talked a lot about it. I, I'm not, well-- I'm   416  00:36:13,080 --> 00:36:18,088 
  • 59. constantly grateful and I tried to be. I try to show people my  gratitude in so many different     417  00:36:18,088 --> 00:36:23,088  ways. One, 'cause selfishly I think gratitude is sort of like a drug. In  the sense of when I'm     418  00:36:23,088 --> 00:36:28,088  having a horrible day; or I feel down on myself; when I, when I turn  the gratitude on,    419  00:36:28,088 --> 00:36:34,040  and I'd really just think to myself why I'm grateful. It changes my  outlook. My perspective.    420  00:36:34,040 --> 00:36:39,060  And puts me back into this mood that I feel I can, I can work in.  And feel    421  00:36:39,060 --> 00:36:44,060  happy about so selfishly. That's why I try to be grateful all the time.    422  00:36:44,060 --> 00:36:49,060  I'm just blessed to have so many quality people in my life. But To  answer     423  00:36:49,060 --> 00:36:55,000 
  • 60. your question. I don't talk a lot about her; I talk a lot about my dad  and his influence     424  00:36:55,000 --> 00:37:00,008  but I would say I'm really grateful for my mom and my mom is  probably     425  00:37:00,008 --> 00:37:05,060  one of the hardest working people I've ever met and really put     426  00:37:05,060 --> 00:37:10,080  a work ethic into me. I think a lot of it comes from her     427  00:37:11,000 --> 00:37:16,020  roots in being a North Dakotan and growing up in Fargo and- and     428  00:37:16,020 --> 00:37:21,040  being in that Midwestern cold environment. And she's an attorney     429  00:37:21,040 --> 00:37:26,040  so she's she's got a way with arguments and in a way   430  00:37:26,040 --> 00:37:31,040  with figuring out how to how to describe to me how I could do do  better or     431  00:37:31,040 --> 00:37:36,048 
  • 61. how much she loves me one of the two, but I'm so blessed to have  her in my life. And    432  00:37:36,048 --> 00:37:41,048  I've had a lot of crazy ideas over my 30 years and     433  00:37:41,048 --> 00:37:46,060  probably more to come and every time I tell her about one, she's  excited to     434  00:37:46,060 --> 00:37:51,080  hear about it and and has some input on it, but she believes in me  and let's     435  00:37:51,080 --> 00:37:56,088  just say some of those ideas have been more out of left field than  you'd expect. So I'm, I'm     436  00:37:56,088 --> 00:38:02,020  super grateful and blessed to have her not to mention man. She  freaking loves     437  00:38:02,028 --> 00:38:07,040  my two kids and having a Grandma. A Nana as we call her; that    438  00:38:07,068 --> 00:38:12,068  love your kids, could not be a more important one to me. And then  to to my kids  
  • 62.   439  00:38:12,068 --> 00:38:18,008  as they get older. So man. I appreciate you asking me that because  it's a chance for me to tell folks.     440  00:38:18,008 --> 00:38:23,040  And share share how much I am grateful for. My mom is the best in  the end.  Speaker 1: Thanks for sharing     441  00:38:23,040 --> 00:38:28,048  man. That resonates with me. Like you can't imagine we have two  kids under 2     442  00:38:28,048 --> 00:38:33,048  and same deal. Grammy is the best and everything. What you said,  that reallly resonates with me. Thanks for     443  00:38:33,048 --> 00:38:38,068  sharing man. Speaker 2: Absolutely. So if someone listen to this  podcast     444  00:38:38,068 --> 00:38:43,068  was like dude, I got to talk to Jason about Henry's original. I got to  talk to him     445  00:38:43,068 --> 00:38:49,000  about data. I want to ask him for his help And have him  
  • 63.   446  00:38:49,000 --> 00:38:54,000  consult for me in some way on the side. How does someone get a  hold of     447  00:38:54,008 --> 00:38:59,028  Jason Scott Arnold? What's the best way to do that?  Speaker 1: I'm on all the socials     448  00:38:59,028 --> 00:39:04,028  the ​LinkedIn​ to ​Twitter​ the Instagram, you know, I'm sure people  can find     449  00:39:04,028 --> 00:39:09,040  me these   Speaker 2: days. I like it man. I like it. Well, listen folks.     450  00:39:09,080 --> 00:39:14,080  Definitely reach out to Jason. If not for talking about data then to  find out where you     451  00:39:14,080 --> 00:39:20,000  can score some Henry's original when you're in California or  wherever they're Distributing to and then     452  00:39:20,000 --> 00:39:25,000  also just talk to him because he's a stand-up dude and I've had a  great time building a friendship with them.  
  • 64.   453  00:39:25,000 --> 00:39:30,020  So make sure you do that Jason eyes. Super appreciate this time we  had on the podcast     454  00:39:30,020 --> 00:39:35,028  today and I'm looking forward to continuing to build our relationship  and seeing what the hell you got up your     455  00:39:35,028 --> 00:39:40,048  sleeve out there and Mendocino County going forward.   Speaker 1: Thank you Charlie. Please come visit     456  00:39:40,048 --> 00:39:45,048  us man. Who'd love to have you   Speaker 2: out. Oh, I would love nothing more. You don't threaten  me with a good time.     457  00:39:45,060 --> 00:39:50,068  Let's just say that don't fill me with a good time.   Speaker 1: That's a few months and we'll have plants     458  00:39:50,068 --> 00:39:55,068  in the ground outside. And yeah, we could do the whole   Speaker 2: walk. I'm into that. We're     459  00:39:55,068 --> 00:40:01,008 
  • 65. going to have to schedule that. We're gonna have to schedule that.  Brother so folks. Thanks again for listening to the show. I'm     460  00:40:01,008 --> 00:40:06,040  grateful for you all those folks that are out there listening and taking  this information in     461  00:40:06,040 --> 00:40:12,008  grateful for your your ears and for you to listen to Jason my  conversation.     462  00:40:12,008 --> 00:40:17,008  If you do one thing before listen to the next one start clean and stay     463  00:40:17,008 --> 00:40:23,008  clean. Thanks for listening folks. This is Charlie McKenzie and that  was croptalk till     464  00:40:23,008 --> 00:40:25,068  next time start clean. Stay clean.