Improve Your Plant Study: 3 Types of Environmental Data You May Be Missing
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What data are you missing? As a plant researcher, you need to effectively assess crop performance, whether it’s yield or disease resistance. But if you’re only measuring weather data, you might be missing key performance indicators in your variety trials. Understanding the full picture of the environment will make it easier to select the right varieties to advance—and avoid wasting resources on advancing bad selections. To accurately assess plant stress tolerance, you must first characterize all environmental stressors. For example, drought studies are notoriously difficult to replicate because of high weather variability. Precipitation data is not enough to assess drought. You need a tool to quantify drought at the soil level. Get better, more accurate conclusions It’s important for your environmental data to accurately represent the environment of your site. That means not only capturing the right parameters but choosing the right tools to capture them. In this 30-minute webinar, application expert Holly Lane discusses how to improve your current data and what data you may not be collecting that will optimize and improve the quality of your plant study. Find out: - How to know if you’re asking the right questions - Are you using the right atmospheric measurements? And are you measuring weather in the right location? - Which type of soil moisture data is right for the goals of your research or variety trial - How to improve your drought study, why precipitation data is not enough, and why you don’t need to be a soil scientist to leverage soil data - How to use soil water potential - How accurate your equipment should be for good estimates - Key concepts to keep in mind when designing a plant study in the field - What ancillary data you should be collecting to achieve your goals Presenter Holly Lane has a BS in agricultural biotechnology from Washington State University and an MS in plant breeding from Texas A&M, where she focused on phenomics work in maize. She has a broad range of experience with both fundamental and applied research in agriculture and worked in both the public and private sectors on sustainability and science advocacy projects. Through the tri-societies, she advocated for agricultural research funding in DC. Currently, Holly is an application expert and inside sales consultant with METER Environment.
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How to improve irrigation scheduling using soil moisture
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Every irrigator wishes for tools that answer the fundamental questions: when do I turn the water on and when do I turn the water off? The challenge is figuring out the right ones and implementing them effectively. New sensor technology and cloud computing offer new opportunities to growers, but it is often unclear how to put these into practice.
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Stop guessing. Start measuring.
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Measuring evapotranspiration (ET) to understand water loss from a native or a managed ecosystem is easier than it looks, but you have to know what you’re doing. If you can’t spend the time or money on a full eddy-covariance system, you’ll have to be satisfied with making some assumptions using equations such as Penman-Monteith.
Like any model, the accuracy of the output depends on the quality of the inputs, but do you know what measurements are critical for success? Plus, as your instrumentation gets more inaccurate, the errors get larger. If you’re not careful, you can end up with no idea what’s happening to the water in your system.
Get the right number every time
You don’t have to be a meteorologist or need incredibly expensive equipment to measure ET effectively. In this 30-minute webinar, Campbell Scientific application scientist Dr. Dirk Baker and METER research scientist Dr. Colin Campbell team up to explain:
- The fundamentals of energy balance modeling to get ET
- Assumptions that can simplify sensor requirements
- What you must measure to get adequate ET estimates
- Assumptions and common pitfalls
- How accurate your equipment should be for good estimates
- Causes and implications of uncertainty
Water Potential 101: What It Is. Why You Need It. How To Use It.
Soil is no longer a black box. Advances in sensor technology and software now make it easy to understand what’s happening in your soil, but don’t get stuck thinking only measuring soil water content will tell you what you need to know. Water content is only one side of a critical two-sided coin. To understand when to water, plant-water stress, or how to characterize drought, you also need to measure water potential.
Better data. Better answers.
Soil water potential is a crucial measurement for optimizing yield and stewarding the environment because it’s a direct indicator of availability of water for biological processes. If you’re not measuring it, you’re likely getting the wrong answer to your soil moisture questions. Water potential can also help you predict if soil water will move, and where it’s going to go. Join METER soil physicist, Dr. Doug Cobos, as he teaches the basics of this critical measurement. Learn:
- What is water potential?
- Why water potential isn’t as confusing as it’s made out to be
- Common misconceptions about soil water content and water potential
- Why water potential is important to you
Soil Moisture 302: Hydraulic Conductivity
Which instrument is right for you?
Soil hydraulic conductivity is the ability of a soil to transmit water in saturated, nearly saturated, or unsaturated conditions. But measuring hydraulic conductivity can be confusing. Which measurement is right for your application: saturated or unsaturated hydraulic conductivity? And which instrument should you use?
Make the right choice
In Soil Moisture 302, Leo Rivera, Research Scientist at METER, teaches which situations require saturated or unsaturated hydraulic conductivity and the pros and cons of common methods used to measure both parameters. Find out:
• When to measure saturated hydraulic conductivity
• When to measure unsaturated hydraulic conductivity
• Instruments that measure each parameter
• The technology behind each instrument
• Advantages vs. disadvantages of each method
Irrigation of Controlled Environment Crops - Nutrients & Stress
Welcome to Part 2 of our webinar series: Irrigation of Controlled Environment Crops for Increased Quality and Yield. Today we’ll hear from Dr. Gaylon Campbell, who will discuss how to measure electrical conductivity and osmotic stress to optimize crop steering for maximum yield.
Irrigation Management: Plant-Water Relations and Atmospheric Demand
Soil moisture data are useful, but they can’t tell us everything. Other strategies for growers, like plant and weather monitoring, can inform irrigation scheduling decisions.
In this 30-minute webinar, Dr. Gaylon Campbell will explore options for managing irrigation beyond soil moisture. Learn the why and how of scheduling irrigation using plant or atmospheric measurements. Understand canopy temperature and its role in detecting water stress of crops. Plus, discover when plant water information is necessary and which measurement(s) to use.
Here’s what we’ll cover:
• Estimating crop water use with reference evapotranspiration (ET)
• Relationships between plant water potential and water stress
• Options for scheduling deficit or controlled stress irrigation
• Water stress and canopy conductance from canopy temperature
Irrigation of Controlled Environment Crops—Part 4: Balancing Light, Water, an...
Irrigation of Controlled Environment Crops—Part 4: Balancing Light, Water, an...METER Group, Inc. USA
Are you unwittingly compromising your plants?
In a controlled environment many variables affect production. But if any one of those variables gets out of balance, it can undermine your whole operation. For example, if you apply enough nutrients for high production but only enough light for low production, you’ll increase costs and limit yield. To get the most out of your crop, you’ll need to measure and balance environmental inputs correctly to get the most efficient use out of them. If you’re not measuring the right variables, fixing problems that keep you from your goals will be a shot in the dark, because you won’t know what the real problem is.
Amplify your production and efficiency
In part 4 of our popular controlled-environment webinar series, world-renowned soil physicist, Dr. Gaylon Campbell, teaches what is required to ensure all environmental variables remain balanced for the highest possible efficiency and production. Discover:
- How to model biomass production from light, water, and nutrient resources
- Relationships between biomass production, light, and CO2
- Relationships between biomass production and water use
- Relationships between biomass production and nutrient uptake
- Limiting factors in the balance equations
- Examples and monitoring applications Soil Moisture 301: Hydraulic Conductivity
Get the complete soil picture—Hydraulic conductivity impacts almost every soil application: crop production, irrigation, drainage, hydrology in both urban and native lands, landfill performance, stormwater system design, aquifer recharge, runoff during flooding, soil erosion, climate models, and even soil health.
In this 20-minute webinar, METER research scientist, Leo Rivera discusses how to better understand water movement through soil. Discover:
- Saturated and unsaturated hydraulic conductivity—What are they?
- Why you need to measure hydraulic conductivity
- Measurement methods for the lab and the field
- What hydraulic conductivity can tell you about the fate of water in your system.
Soil Moisture: Why Water Content Can’t Tell You Everything You Need to Know
Water content can leave you in the dark
Everybody measures soil water content because it’s easy. But if you’re only measuring water content, you may be blind to what your plants are really experiencing.
Soil moisture is more complex than estimating how much water is used by vegetation and how much needs to be replaced. If you’re thinking about it that way, you’re only seeing half the picture. You’re assuming you know what the right level of water should be—and that’s extremely difficult using only a water content sensor.
Get it right every time
Water content is only one side of a critical two-sided coin. To understand when to water or plant water stress, you need to measure both water content and water potential. In this 30-minute webinar, METER soil physicist, Dr. Colin Campbell, discusses how and why scientists combine both types of sensors for more accurate insights. Discover:
- Why the “right water level” is different for every soil type
- Why soil surveys aren’t sufficient to type your soil for full and refill points
- Why you can’t know what a water content “percentage” means to growing plants
- How assumptions made when only measuring water content can reduce crop yield and quality
- Water potential fundamentals
- How water potential sensors measure “plant comfort” like a thermometer
- Why water potential is the only accurate way to measure drought stress
- Why visual cues happen too late to prevent plant-water problems
- Case studies that show why both water content and water potential are necessary to understand the condition of soil water in your experiment or crop
Why Your GDD Estimate Isn’t Good Enough—and How to Fix It
How to nail your estimates and act at the right time
When you use inaccurate data, the further you are into the growing season, the greater the estimate will differ from reality. For longer season crops, the difference could be quite significant, which is a problem because plant maturity, flowering, and pest/disease GDD targets often have tight windows.
In this 20-minute webinar, Dr. Colin Campbell discusses what you need to know for more accurate models, so you can be confident in your management decisions.
Soil Moisture 102: Water Content Methods–Demystified
In this 20-minute webinar, Dr. Colin Campbell demystifies the differences between soil water content measurement methods. He explores the scientific measurement theory and the pros and cons of each method. He also explains which technology might apply to different types of field research, and why modern sensing is about more than just the sensor.
Learn:
• Measurement theory behind the gravimetric method, capacitance, time-domain reflectometry (TDR), time-domain transmission (TDT), frequency-domain reflectometry (FDR), resistance sensors, and more
• Which technology applies to different field situations
• What factors matter when choosing a sensor type
• Why some methods are not research-grade
• How modern sensing is about more than just the sensor
• How to determine a good price-to-performance ratio for your unique application
Benchmarking grounds in australia
1) The document discusses methods for benchmarking and monitoring sports fields, including using a colorimeter to quantify turfgrass color, near-infrared cameras to calculate normalized difference vegetation indices (NDVIs), and time domain reflectometers (TDRs) to measure soil moisture content and distribution uniformity.
2) Throughout a study in 2009, the authors regularly took NDVI and soil moisture readings across grids on several fields to determine the impact of wear on surface quality and moisture levels.
3) The readings were mapped using GPS and proprietary software to visually represent the field conditions, allowing for benchmarking of fields and identifying best practices for field maintenance and irrigation.
Soil Moisture 202: Choosing the Right Water Potential Sensor
by Leo Rivera, METER Research Scientist
Water potential is the most fundamental and essential measurement in soil physics because it describes the force that drives water movement. Making good water potential measurements is largely a function of choosing the right instrument and using it skillfully. In an ideal world, there would be one instrument that simply and accurately measured water potential over its entire range from wet to dry. In the real world, there is an assortment of instruments, each with its unique personality. Each has its quirks, advantages, and disadvantages. Each has a well-defined usable range.
Which sensor is right for you?
In this 20-minute webinar, METER research scientist Leo Rivera discusses how to choose the right field water potential sensor for your application.
Learn:
• Why you should measure water potential
• Which part of the water potential range each sensor measures
• The technology behind each method: tensiometers, granular matric sensors, heat dissipation sensors, thermocouple psychrometers, and capacitance sensors.
• The pros and cons of each method
• Which sensors are best for certain applications
Soil Moisture 201: Moisture Release Curves
This document provides an introduction to soil moisture release curves and water potential. It discusses how soil moisture release curves can be used to understand plant water availability and make irrigation decisions. Specifically, it defines water potential and its components. It explains that soil moisture release curves relate extensive water content properties to intensive water potential properties. The document also discusses field capacity and factors that can affect it, such as soil texture. It describes how soil moisture release curves provide additional information about soil properties beyond water retention.
5 Reasons You’re Getting Less Accurate Soil Moisture Release Curves
How do I characterize expansive soils? Will water drain through the soil quickly or be retained? How can I predict deep drainage or runoff?
What if you could get an inside picture of the soil moisture relationships that cause these issues?
A soil-water characteristic curve shows the relationship between water content and soil suction. And it’s one of the most powerful diagnostic and predictive tools.
Learn about what soil-water characteristic curves are and why they’re so powerful.
UF/IFAS Extension Irrigation Best Practices: Calibrating and Scouting for Mai...
The document discusses best practices for irrigation maintenance including how to calibrate sprinkler systems using catch cans to measure uniformity and application rates, calculate scheduling multipliers to adjust for non-uniformity, and use tools like the FAWN app to set irrigation schedules based on local weather conditions. Following these practices can save thousands of gallons of water per year and reduce costs through more efficient irrigation.
Revolutionizing Soil Moisture—A New Holistic Approach for Higher Accuracy
Errors in soil moisture data cost scientists hours of wasted time sifting through datasets trying to figure out what is real and what is installation error. We’ve spent the past 20 years focusing on the accuracy of the sensor itself. With the TEROS 12, we’ve not only improved our sensor, we’ve also turned our attention to broader issues that are likely to confound soil moisture data—things like sensor-to-sensor variability, volume of influence, air gaps, and preferential flow.
Learn about:
TEROS 12 data consistency and response to wetting fronts
How the new calibration procedure works to minimize sensor-to-sensor variability
How the installation tool reduces air gaps and site disturbance while improving consistency
What to expect during an installation
Kieffer Huck 2008
Comparison of a soil moisture audit and a traditional audit done with catch cans. Data taken on a fairway in suburban Chicago.
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Evapotranspiration: Pitfalls to Avoid and Why It’s Easier Than You Think
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This document summarizes research on how ecological practices can mitigate floods and droughts. A meta-analysis found that no-till practices improved infiltration rates by 21% on average, while cover crops improved infiltration by 19% and perennials by 59%. Continuous living covers like cover crops and perennials increased soil water storage by 8-9%. Modeling shows that shifting less profitable cropland to perennials and cover crops reduced runoff 10-14% and increased water usage 7-10%, with larger benefits during droughts. Targeting these practices to high erosion or low profit areas provides flood mitigation and drought resilience benefits.
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This document outlines the key stages and considerations for planning and conducting a fieldwork investigation into succession in sand dune ecosystems. It discusses establishing aims, hypotheses, appropriate data collection methods, health and safety risks, data presentation and analysis techniques. Specific topics covered include transect methods, quadrat sampling, soil moisture and pH testing. The document also provides background context on sand dune succession theory, including pioneer species, seral stages, and climax communities.
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This document summarizes research on challenges to sustainable potato production from climate change and identifies knowledge gaps. Rising temperatures and carbon dioxide levels may increase potato yields but also pest and disease pressures. Models are being used to understand these impacts but need better data. Farmers in the Andes are already adapting through changes in planting locations and varieties. However, expanding potato into peatlands or grasslands could release large amounts of soil carbon. Overall research is needed to develop climate-smart agriculture that balances adaptation, mitigation and food security goals.R. serraj. Screening and trait based selection for drought resistance in rice
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This document discusses incorporating weather, soil, plant, and other environmental parameters as inputs into crop growth models. It provides an overview of different types of crop models and the key input data they require, including weather, soil, crop, management, and pest data. The document also discusses how remote sensing data can be incorporated into models by using time series variables like leaf area index derived from remote sensing as model inputs. Several case studies are presented on integrating remote sensing with different crop models to improve yield predictions at regional scales.
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Visit Us:- https://heicoin.com/soil-testing-equipment/
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More from METER Group, Inc. USA
How to Get the Most Accurate Soil Moisture Data
The first step to understanding if you are collecting quality soil moisture data is to first know where they’re wrong. But what makes good data go bad?
Proactive prevention of data’s main confounders.
Would you recognize bad data if you had it? Knowing what to look for and the key steps to take to prevent later problems is the difference between accuracy and estimation. In this 30-minute webinar, METER’s soil moisture sensor product manager and ecology and plant physiology specialist, Chris Chambers, will break down the largest contributors to degradation in data.
Discussed in this webinar:
The impacts of an inaccurate or unreliable sensor
How incorrect installation can invalidate all data
How to preempt installation issues before they occur
How to minimize the possibility of preferential flow
What METER is doing to help you get the most accurate data possible
And more
The Complete Guide to Leaf Area Index
Leaf Area Index (LAI) has vast implications across land use management, ecology, and any project impacted by gross primary productivity (GPP). But what is LAI? What could an understanding of LAI do for your research? Multiple measurement methods make the process of choosing the best method for your application confusing. How do you balance accuracy and labor efforts?
In this 30-minute webinar, METER’s Product Manager for plant, canopy, and atmospheric monitoring, Jeff Ritter, will discuss:
What is LAI?
Why measure LAI?
Direct sampling methods, including litter traps.
Indirect ground-based methods, including hemispherical photography.
The difference between transmittance and reflectance methods.
Satellite-based approaches.
How to choose the right method for your project that balances precision and labor intensity.
Interpreting Soil Moisture Release Curve Data
If you know what to look for, you can harness powerful insights from a soil moisture release curve. But if you're using the wrong instrumentation, don't have the correct tools to evaluate the curve, or choose the wrong model to fit the curve, your insights can be drastically wrong. And those errors are only amplified when put into a hydrology model.
In this 30-minute webinar, research scientist and Director of Scientific Outreach, Leo Rivera, illustrates what insights you can glean from your soil moisture release curve data and hot to get everything you can from this soil fingerprint. He'll discuss:
- What a soil moisture release curve is
- What information a soil moisture release curve can provide about your soil
- The predictions you can make using a soil moisture release curve
- What tools you need to achieve the specific results you desire
- How to choose the right model to fit your curve
- How to interpret data from soilless media
How to Interpret Hydraulic Conductivity Data
You need to understand how water is moving (or not moving) through your soil. Gathering precise, accurate, and timely data is the first hurdle, which can be conquered with the proper instrumentation. But how do you ensure you get the most thorough and meaningful insights from every data set?
In this 30-minute webinar, METER research scientist Leo Rivera explores examples of hydraulic conductivity data you might encounter during your research and breaks down what to look for, what to avoid, and how to reach the most insightful conclusions your data has to offer.
In this webinar:
-Learn how to interpret hydraulic conductivity data
- Take a deep dive into SATURO data and how to make the most of it
- Explore data collected in the lab vs. field
- Examine impacts of land use and soil health
Choosing the Right Water Potential Sensor
If you're not measuring water potential, or not measuring it correctly, your data could be telling you the wrong thing. Water content measurements can only tell you so much, and inferring water potential from water content is inaccurate at best, and completely misleading in worst-case scenarios.
In this 30-minute webinar, METER research scientist Leo Rivera discusses the good, the bad, and the ugly sides of measuring soil water potential. He'll walk you through the considerations and choices you need to take into account to select the perfect water potential sensor for your needs. Discover the challenges, limitations, and advantages of new sensor tech, and learn how to collect the most accurate measurements for your particular application.
Learn about:
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- The most recent trends and technologies
- Installation considerations and the tools available to make install better
- The limitations of using water content to infer water potential
- Our most recent research projects and findings
How to Interpret Soil Moisture Data - Part 2
How do you explain deviations from expected soil moisture data patterns? To get the most out of your soil moisture sensor network, you need to know how to decipher anomalies within each dataset. Accurate attribution of each change within your data is crucial to ensuring your results are thorough and accurate. In this 40-minute webinar, METER research scientist Dr. Colin Campbell discusses how to understand what your data is trying to tell you.
Water Resource Capture - Turning Water Into Biomass
What if you could predict the amount of biomass you will produce? Understanding how to measure the amount of water a crop will need unlocks the ability to maximize output. In part two of our resource capture webinar series, Dr. Gaylon Campbell, world-renowned environmental biophysicist, discusses the measurements and calculations needed to know how much biomass the water in a given environment can produce.
Radiation Resource Capture - Are You Leaving Yield On The Table?
The only way to know if you’re growing as much biomass as possible within the environment in which you operate is to measure the resources available for capture. In this 30-minute webinar, Dr. Gaylon Campbell, world-renowned environmental biophysicist, explores the impact of radiation resource capture on your crops and how knowing this critical measurement could be the difference between mediocre biomass production and a doubled yield.
5 Reasons Your Soil Texture Analysis Isn’t Accurate Enough
Soil particle analysis is more complicated than it looks
Accurate soil texture information is critical for understanding experimental results or modeling—and if you’re just guessing—you’ll be in trouble when it comes time for publication. Soil particle analysis is hard. You need to know what to watch out for, or your accuracy can be off by orders of magnitude. And that’s a problem—get it wrong, and your models and assumptions will be incorrect and ultimately you’ll reach bad conclusions.
What you need to know
Measuring soil texture can be tedious, complex, and prone to human error. In this 30-minute webinar, researcher and application expert Leo Rivera teaches best practices for higher accuracy and how to choose the right method for your unique application. Learn:
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Substituting Sugar: Pros & Cons of 5 Top Sugar Alternatives
Watch the webinar here:
go.meter.group/alt-sweet
Demand for healthier snacks and treats continues to grow. Innovative new sweeteners abound. But in the scramble to develop the next great clean-label snack, food companies are finding that each sugar substitute comes with a special set of challenges.
Since substitutes don’t perfectly mimic sugar’s characteristics, formulators are left with a complicated job: Finding new ways to achieve the sugary taste, texture, shelf life, and appearance that will satisfy consumers.
Join Mary Galloway, head of the METER Food R&D Lab, and Dr. Zachary Cartwright, lead food scientist, as they present original research that addresses the challenges that come with using sugar alternatives. They’ll cover:
— The pros, cons, and frequent challenges associated with 5 top alternative sweeteners
— The scientific concepts that explain sugar’s unique characteristics
— How formulators can use water activity measurements to minimize the challenges that come with sugar substitutes
— How blending different sugar alternatives can yield better results
About the presenters
Mary Galloway is head of the METER Food Research & Development Lab. She specializes in using and testing instruments that measure water activity and its influence on physical properties. She has worked with dozens of the world’s largest and most successful food brands to solve moisture-related product issues.
Dr. Zachary Cartwright is lead food scientist at METER Group. He holds a PhD in food science from Washington State University and a bachelor’s degree in biochemistry from New Mexico State University. He is an expert in isotherm analysis and the use of the Vapor Sorption Analyzer (VSA).
Weather Data: Why Accuracy is More Complicated Than You Think
Don’t unwittingly compromise your weather data by underestimating all the factors that influence accuracy. Dr. Colin Campbell discusses what these factors are and how to plan for them.
You need data you can trust
Think weather data accuracy is about sensor specifications? Think again. There are a host of other factors that influence accuracy, and if you don’t understand what they are, your data can steer you in the wrong direction and put your projects at risk.
What you need to know
In this 30-minute webinar, Dr. Colin Campbell explains how you can unwittingly compromise your data by underestimating these important factors. Learn:
- How microclimates influence accuracy
- How many measurement sites you need to deal with variability
- How installation affects accuracy and important best practices to keep in mind
- Why you need to measure more than just weather parameters to understand what’s happening at your site (critical ancillary measurements)
- Why the scientific theory behind how a station makes its measurements matters
Why models using internet data are not good enough
- How a station that requires significant maintenance can derail accuracy
- How using affordable research-grade stations to fill in data gaps between premium-quality setups can be a cost effective way to increase your accuracy
- Why your data visualization and management system matters in terms of accuracy
- Case studies that show why you need to think about the big picture
Soil Infiltration 101: What It Is. Why You Need It. How To Measure It.
World-renowned soil physicist, Dr. Gaylon S. Campbell, teaches the basics of soil infiltration, how to measure it correctly, and compares common measurement methods.
Make the right decisions
Soil infiltration impacts almost everything soils are used for. Infiltration rates impact irrigation, drainage, and how well water flows to crop roots. Infiltration measurements are used to predict erosion and determine soil health. And, in urban settings, stormwater systems and landfills need soil infiltration measurements to maximize or minimize water movement in soil. If you’re working in these situations, it’s critical to understand how to measure infiltration correctly, or you’ll risk inaccurate calculations that could lead to wrong decisions.
Master the basics
In this 30-minute webinar, world-renowned soil physicist, Dr. Gaylon S. Campbell, teaches the basics of soil infiltration and how to measure it correctly. Learn:
- What is soil hydraulic conductivity?
- How does soil infiltration vary from one porous medium to another?
- What determines hydraulic conductivity?
- Why you should care about the infiltration rate of water into soil
- How to measure soil infiltration in the lab and the field
- How different measurement methods compare
Water Management - 3 Tools You Might Be Missing.pdf
Why overwatering is causing you problems.
Just like a thermostat can be set optimally for comfort without wasting heat, the latest advances in sensor technology can do the same for plants: keep them comfortable, without wasting water. This means you can have higher quality and yield while reducing problems caused by overwatering such as disease or the need to reapply expensive nutrients that have been flushed away.
Better management--better plant performance.
Join Dr. Colin Campbell as he explores the latest water management research and real world examples to answer the questions: Does water management work? What are challenges and best practices? And what should we do next?
Discover:
- The role water plays in managed ecosystems.
- How using measurement technology like soil water potential, soil water content, electrical conductivity, and temperature can show impacts of management.
- How to deploy these sensors effectively in high-dollar ecosystems.
- What the interplay is between environmental variables like evapotranspiration and soil water.
- How combining these variables can inform water management.
- How overwatering impacts disease and critical nutrients in the root zone.
Measuring moisture content in food and supplements
There are ovens, vacuum ovens, halogen moisture balances, Karl Fischer titrators, NIR devices – and that’s only the beginning. How do you choose the right one?
Once you’ve chosen, how do you ensure consistently precise and reliable results? Measuring moisture content can be a minefield, but getting it right pays dividends.
In this webinar, Dr. Zachary Cartwright and moisture content researcher Conner Jeffries:
— Explore why moisture content measurements can be so fickle
— Discuss direct vs indirect methods and how ovens, moisture balances and titrators compare
— Present original research that highlights key issues with moisture content in dried fruit, tablets and supplements, and cannabis
— Outline methods to reduce variation and improve the accuracy of your moisture content analysis
— Discuss new methods to measure moisture content quickly and precisely
Rapid, in situ Thermal Conductivity Measurements, Even in Moist Insulating Ma...
Rapid, in situ Thermal Conductivity Measurements, Even in Moist Insulating Ma...METER Group, Inc. USA
Steady-state methods for measuring thermal conductivity in insulation are painstakingly slow. The temperature gradient inherent to the method also induces moisture movement within moist samples, making it unsuitable for such measurements. This seminar describes a new algorithm, used with a line heat source, to measure the thermal conductivity of insulating materials in one minute, even in the presence of moisture.
In this 30-minute webinar, Dr. Gaylon Campbell, world-renowned environmental measurement expert, describes:
- The science behind the transient method, how to apply it, and how it performs on insulating materials
- How moisture affects the thermal conductivity of insulation
- Why only transient methods correctly measure the thermal conductivity of insulation when moisture is present
- How to determine the volumetric specific heat of insulation, to use as input to the measurement
Weather Data: Virtual, In-Field, or Regional Network—Does It Matter?
Which data source is better?
In the world of specialty crops, there is disagreement on how well weather-driven insect, disease, and frost prediction models actually perform. Dr. Dave Brown, former director of Washington State University’s AgWeatherNet spent years comparing different weather data sources and how those data affect the accuracy of common environmental models used by orchard growers. In this 20-minute webinar, he shares the surprising things he learned.
Decrease chances of crop damage with one simple practice
Find out how you can increase the accuracy of your predictive models and decrease frost, insect, and disease incidents by doing just one thing differently—improving the quality of your weather data. Discover:
- Microclimates: what are the conditions like inside a crop canopy versus outside?
- Virtual data vs. weather station data: Which is better?
- How do site-specific weather data vs. regional network data compare?
- How much does a small decrease in data quality affect the accuracy of your models?
- What’s the value of in-orchard measurements?
- What are some best practices for higher data quality?
Presenter
For 20 years as a faculty member at Montana State University and Washington State University (WSU) Dr. Dave Brown pursued research on soil sensors, spatial data science and digital agriculture. At both universities, he served in many leadership roles for major research projects, academic programs and most recently as Director of the WSU AgWeatherNet program. In this capacity, Dr. Brown hired and supervised a team of meteorologists who pursued research and extension activities focused on evaluating and improving the quality of weather data used for agricultural decisions.
Understanding Isotherms: What vapor sorption can and can’t tell you
Moisture content and water activity. Each has its assigned roles and responsibilities. They’re often used separately, and for very different purposes. But can they work together?
In this live webinar, our METER experts will break down how and why mapping moisture content and water activity together – and how they change over time – can open a new world of valuable information.
You’ll learn:
— Why MC and aW combined can tell you more than they would separately
— All the ways to create isotherms, plus the strengths and weaknesses of each method
— How to interpret and use your moisture sorption isotherms
— Why isotherms can predict texture changes so precisely
— Why shelf life and packaging decisions can be made faster using isotherms
— How to extract business value from your isotherms – both in and out of the R&D department
Irrigation of Controlled Environment Crops for Increased Quality and Yield—Pa...
Irrigation of Controlled Environment Crops for Increased Quality and Yield—Pa...METER Group, Inc. USA
Rev up your productivity
If you’re crop steering to optimize quality and productivity, understanding nutrient concentration is critical to stressing your plants correctly. If nutrient concentrations get too low, you won’t get the production you’re paying for with the rest of your infrastructure. If the concentrations are too high—you’ll risk killing your plants.
Measure. Don’t guess.
You can’t quantify nutrient concentration just by looking at your plants or tasting the fruit. The only way to know the nutrient concentration is to measure it. Crop steering can only be done if you know the electrical conductivity (EC) of the nutrient solution in the growth substrate. In this 30-minute webinar, world-renowned soil physics expert, Dr. Gaylon Campbell discusses how to measure EC and osmotic stress to optimize crop steering for maximum yield. He’ll cover:
- Environmental control of growth and development in plants
- Electrical conductivity as a measure of nutrient concentration in the growth medium
- Techniques for measuring pore water electrical conductivity in unsaturated media
- How to relate pore water electrical conductivity to the bulk conductivity being measured
- Crop steering using osmotic stress and how to monitor that stress5 Insider Tips: How to Be Fieldwork Ready
Today we’ll hear from Dr. Sara Vero, who will discuss how to maximize the efficiency and effectiveness of your field visits. Sara is a researcher and lecturer in agricultural science, whose work focuses on soil physics, chemistry, and water quality. Her new book, ‘Fieldwork Ready’, is a guide to field research in agricultural and environmental science. 'Fieldwork Ready' introduces readers to the fundamental elements of planning, preparedness, and best practice that help field researchers to run successful experiments and investigations.
Mastering Moisture in Powders: Flowability and Beyond
When it comes to moisture and powders, flowability (caking and clumping) dominates the conversation. But there is much more to explore. In this webinar, scientists Mary Galloway and Dr. Zachary Cartwright address the top five moisture-related issues in powders, including:
- Flowability—how to determine RHc and use it in shelf life, packaging, and formulation decisions
- Moisture migration—how to predict and control it
- Hygroscopicity—strategies for quantifying
- Structure changes—how to determine boundaries between amorphous vs. crystalline, anhydrous vs. hydrate
- Temperature effects: measuring effects on RHc and smoothing transitions
Presenters:
Mary Galloway is a lead scientist in the METER Food Research & Development lab. She specializes in using and testing instruments that measure water activity and its influence on physical properties. She has worked with many customers to solve their moisture-related product issues.
Zachary Cartwright is a lead food scientist at METER Group. He helps customers achieve complete moisture analysis of their products and is an expert in the use of the Vapor Sorption Analyzer (VSA). He has a Ph.D. in food science from Washington State University and a bachelor’s degree in biochemistry from New Mexico State University.
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Water Resource Capture - Turning Water Into Biomass
Water Resource Capture - Turning Water Into Biomass
Radiation Resource Capture - Are You Leaving Yield On The Table?
Radiation Resource Capture - Are You Leaving Yield On The Table?
5 Reasons Your Soil Texture Analysis Isn’t Accurate Enough
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Substituting Sugar: Pros & Cons of 5 Top Sugar Alternatives
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Weather Data: Why Accuracy is More Complicated Than You Think
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Soil Infiltration 101: What It Is. Why You Need It. How To Measure It.
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Water Management - 3 Tools You Might Be Missing.pdf
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Rapid, in situ Thermal Conductivity Measurements, Even in Moist Insulating Ma...
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Irrigation of Controlled Environment Crops for Increased Quality and Yield—Pa...
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◇回国时间很长，忘记办理；
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3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Evolving Lifecycles with High Resolution Site Characterization (HRSC) and 3-D...
The incorporation of a 3DCSM and completion of HRSC provided a tool for enhanced, data-driven, decisions to support a change in remediation closure strategies. Currently, an approved pilot study has been obtained to shut-down the remediation systems (ISCO, P&T) and conduct a hydraulic study under non-pumping conditions. A separate micro-biological bench scale treatability study was competed that yielded positive results for an emerging innovative technology. As a result, a field pilot study has commenced with results expected in nine-twelve months. With the results of the hydraulic study, field pilot studies and an updated risk assessment leading site monitoring optimization cost lifecycle savings upwards of $15MM towards an alternatively evolved best available technology remediation closure strategy.
Overview of the Global Peatlands Assessment
Presented by Patrick Scheel at GLF Peatlands 2024 - The Global Peatlands Assessment: Mapping, Policy, and Action
Optimizing Post Remediation Groundwater Performance with Enhanced Microbiolog...
Results of geophysics and pneumatic injection pilot tests during 2003 – 2007 yielded significant positive results for injection delivery design and contaminant mass treatment, resulting in permanent shut-down of an existing groundwater Pump & Treat system.
Accessible source areas were subsequently removed (2011) by soil excavation and treated with the placement of Emulsified Vegetable Oil EVO and zero-valent iron ZVI to accelerate treatment of impacted groundwater in overburden and weathered fractured bedrock. Post pilot test and post remediation groundwater monitoring has included analyses of CVOCs, organic fatty acids, dissolved gases and QuantArray® -Chlor to quantify key microorganisms (e.g., Dehalococcoides, Dehalobacter, etc.) and functional genes (e.g., vinyl chloride reductase, methane monooxygenase, etc.) to assess potential for reductive dechlorination and aerobic cometabolism of CVOCs.
In 2022, the first commercial application of MetaArray™ was performed at the site. MetaArray™ utilizes statistical analysis, such as principal component analysis and multivariate analysis to provide evidence that reductive dechlorination is active or even that it is slowing. This creates actionable data allowing users to save money by making important site management decisions earlier.
The results of the MetaArray™ analysis’ support vector machine (SVM) identified groundwater monitoring wells with a 80% confidence that were characterized as either Limited for Reductive Decholorination or had a High Reductive Reduction Dechlorination potential. The results of MetaArray™ will be used to further optimize the site’s post remediation monitoring program for monitored natural attenuation.
Microbial characterisation and identification, and potability of River Kuywa ...
Microbial characterisation and identification, and potability of River Kuywa ...Open Access Research Paper
Water contamination is one of the major causes of water borne diseases worldwide. In Kenya, approximately 43% of people lack access to potable water due to human contamination. River Kuywa water is currently experiencing contamination due to human activities. Its water is widely used for domestic, agricultural, industrial and recreational purposes. This study aimed at characterizing bacteria and fungi in river Kuywa water. Water samples were randomly collected from four sites of the river: site A (Matisi), site B (Ngwelo), site C (Nzoia water pump) and site D (Chalicha), during the dry season (January-March 2018) and wet season (April-July 2018) and were transported to Maseno University Microbiology and plant pathology laboratory for analysis. The characterization and identification of bacteria and fungi were carried out using standard microbiological techniques. Nine bacterial genera and three fungi were identified from Kuywa river water. Clostridium spp., Staphylococcus spp., Enterobacter spp., Streptococcus spp., E. coli, Klebsiella spp., Shigella spp., Proteus spp. and Salmonella spp. Fungi were Fusarium oxysporum, Aspergillus flavus complex and Penicillium species. Wet season recorded highest bacterial and fungal counts (6.61-7.66 and 3.83-6.75cfu/ml) respectively. The results indicated that the river Kuywa water is polluted and therefore unsafe for human consumption before treatment. It is therefore recommended that the communities to ensure that they boil water especially for drinking.
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How about Huawei mobile phone-www.cfye-commerce.shop
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Improve Your Plant Study: 3 Types of Environmental Data You May Be Missing
- 2. IMPROVE YOUR PLANT STUDY 3 TYPES OF ENVIRONMENTAL DATA YOU MAY BE MISSING Holly Lane, MS METER Group, Inc. USA
- 3. STARTING FROM THE BASICS P = G + E
- 4. STARTING FROM THE BASICS Phenotype:the traits we observe in the plants (ex:height, yield) P = G + E Environment:how the environment affect a plant’s performance Genotype:how genetics affect a plant’s performance
- 5. A QUICK NOTE ON DATA
- 6. DATA QUALITY VS QUANTITY THOUGHTS ON TRADEOFFS Lane, H.M. and S.C. Murray. 2021. Crop Science. High throughput can produce better decisions than high accuracy when phenotyping plant populations. Photo Credit:Texas A&M University Department of Soil and Crop Sciences photo by Beth Ann Luedeker
- 7. DATA QUALITY VS QUANTITY THOUGHTS ON TRADEOFFS
- 8. THE ENVIRONMENTAL STORY WEATHER DATA
- 10. PROBLEMS WITH “LOCAL” DATA LARGE INACCURACIES MAY EXIST Presentation Title/Legal Disclaimer
- 11. HOW TO CHOOSE THE OPTIONS CAN BE OVERWHELMING Check out our webinar, Weather Monitoring 101 In general: • Balance cost and performance • Site data is key Price Performance
- 12. SITE SPECIFIC WEATHER DATA WHY IT’S SO IMPORTANT Concepts of interest: • Identify stress • Model disease risks • Calculate ET, GDD • Accurate precipitation estimates
- 13. WEATHER IS ONLY PART OF THE ENVIRONMENTAL STORY SOIL DATA
- 14. SOIL DATA THE MEDIUM FOR PLANT GROWTH Soil direct impacts plant growth via: • Nutrient availability • Disease pressure • Affecting root growth • Water availability*
- 15. MATRIC POTENTIAL “WATER THERMOSTAT” Different than volumetric water content More useful measurement in plant contexts Not traditionally used due to lack of adequate tools
- 16. MATRIC POTENTIAL QUANTIFY DROUGHT Traditional drought studies are hard to replicate or quantify Drought can vary in: • Timing • Intensity • Duration Looking at precipitation alone, or even moisture content does not account for differences in soil type between sites
- 18. Wetter Drier
- 22. MATRIC POTENTIAL LIMITATIONS Can’t tell you how much water to apply • If you don’t need to quantify water, this may not be an issue • If you do want to know this, add VWC Sensors not suitable for spot checking Traditionally hard to measure • Many field sensors are inaccurate or expensive • TEROS 21 maintains a wide measurement range and sensor-to-sensor consistency
- 23. IN CONCLUSION P = G + E
- 24. THREE THINGS TO CONSIDER FOR YOUR NEXT STUDY Weather • Data quality vs. quantity • Site-specific Soil • Matric potential Our team! • Ask questions – holly.lane@metergroup.com – sales.environment@metergroup.com – 509-332-2756 • Tweet me @HLplants
- 25. QUESTIONS