SlideShare a Scribd company logo
1 of 8
I Ecosystem that brings intelligence to agricult
Agronomic &
Genomic Team
Big Data &
Intelligent IoT Team
Rassarin
Chinnachodteeranu
n
CEO & Co-founder
Ph.D. on API
integration platform
for agronomic models
Prof. Kiyoshi Honda
Co-founder
20 years experience
in
Satellite, Remote
sensing & GIS
Iseda Ryoichi
SALES
20 Years experience
in
M2M business
development
rassarin@listenfield.com
No Predictions
Farmers Need Answers
Fragmented Data
$$$
Difficult & Costly
Analytics
???
rassarin@listenfield.com
API Ecosystem
ANALYTIC
S
SUGGESTIO
N
CONNECTI
ON
Satellite
Farm Data
Farm IoT
UAV
rassarin@listenfield.com
1000s rice fields
100s of sensors
30 years of
Climate
Soil data
Crop Cycle 1.5 days ACCUR
rassarin@listenfield.com
200,000 USD
Revenue in 4 months
Japanese Government
YOSANO
Green City
IMTE
Indoor Aqua
Farm
rassarin@listenfield.com
17
26
2017
202
0
billion USD
billion USD
Agriculture IT
data collection
spend
Smart Agriculture Market Assessment Repo
rassarin@listenfield.com
THANK
YOUrassarin@listenfield.com

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500 Kobe Batch 2: Listenfield

Editor's Notes

  1. Hi, I’M Rassarin THE CEO AND Co-Founder of ListenField. ListenField IS AN API Ecosystem THAT bringS intelligence to agriculture
  2. I HAVE A PHD IN engineering AND applyING API platform design TO agronomic models. My co-founder has 20 years of experience in satellite and remote sensing. Our team of 8 consists of Sales, Big Data AND Agronomic Engineering PHD’s.
  3. Farmers are trying to answer questions like: When is the best time to plant or sprAy? How much yield can I get from my field? BUT MOST SYSTEMS FALL SHORT! FIRST: Data in agriculture IS very fragmented SECOND: THIS MAKES IT difficult and costly to analyze SO: THE PREDICTIONS FarmerS NEED, They Can NOT get
  4. ListenField provides an API ecosystem THAT connects fragmented data from satellties, sensors and Farm Data ProvideS metadata and analytic models TO generate PREDICTIVE insights to Farmers
  5. ONE EXAMPLE Nagoya University works with thousandS of rice farmers. Before ListenField, they collectED and analyzED sensor data manually. It took weeks. ListenField automated those processes and analyzed that data with 30 years of climate & soil data. The result…. Accurate crop development predictions. Something they could never do before. And now they do it in seconds on-demand.
  6. We sell to Service providers, research organizations and governmentS. Today we analyze data from OVER 10,000 crop fields In just 4 months, we generatED OVER 200K revenue.
  7. OVER ONE hundred million farmers need LISTENFIELD services. THE agriculture IT spending is expanding every year. Making the data problems EVEN bigger! We are expanding our services from Japan to India, Thailand, Vietnam and Latin America.
  8. Please join us to create a sustainable and profitable agriculture society together