Toward Global Agricultural Cloud
Masayuki HIRAFUJI* **
Yasuyuki HAMADA*
Tomokazu YOSHIDA*
Atsushi ITOH *
Takuji KIURA *
* NARO National Agriculture and Food Research Organization
** University of Tsukuba
“Big Data” Has Been Dream in
Agriculture
 Plant growth is complex system.
 Environment is complex system.
 Maximization of income
 Minimization of pollution
 Maximization of plant growth
 Modeling by learning
 Analysis between genome and phonotype
Nonlinear Regression Models Using
Artificial Neural Networks
(studied since 20 years ago)
Predicted
Yield
Last year’s
yield
Last year’s
application of
fertilizer
Accumulated
air
temperature.
Recommendation
of fertilizer
Accumulated
soil
temperature
Accumulated
soil moisture
…
Field Servers for Continuous Data Collection
Low-cost USB DNA Sequencer
Nanopore Technology
More phenotypic data is needed
for breeding.
Phenomics vs. Genomics
Gene + ome = Genome
Genome + ics = Genomics
Phenotype + ome = Phenome
Phenome + ics = Phenomics
Genome Data >> Phenome Data
by High-throughput Phenotyping
Nanopore Sequencer
Genome Data >> Phenome Data
Environment Data
Sensors in Fields
Genotypic Data << Phenome Data
Environment Data
Massive Deployment
by Open Field Server (Open-FS)
Wi-Fi
LED garden light with IR sensor
Solar panel
Photo sensors
Inside temperature sensor
Soil temperature sensor
Soil moisture sensor
Field Twitter (Open-FS) Has Been Improved.
樹体水分センサ
Towards A Field Phenomics Center
1km
Wi-Fi Router
Memuro Campus of HARC, NARO
 Phenotype data
 Calibration data for
remote sensing
Tweeting data
Tweeting data
Tweeting data
Collecting Microscopic Data
by A Smartphone with A Macro Lens
A macro lens for iPhone
Stomata on beet leaves can be measured.
Products with Twitter
Plant Sensor
Data of Agricultural Machinery
Data stream on agricultural machinery
Petition (GPS)
Speed
Power
Fuel consumption
Steering
Vibration
Yield
Fertilizer
Chemical
XML by iGreen Project for Agricultural Machine
EU (Germany) leading. USA has a same project (AgGateway)
・
Reprinted from the Proceeding of AgEng 2011 , pp.294, 2011
Farm management data
Contents of FIX-pms
Common Data Format for Farm Management Data
How Can We Combine Data?
API of Cloud Services Can Be A Method.
Let’s Make Big Data for Agriculture!
Developing
New Businesses
Applicayions
Decision Support
System
Precision Farming
GAP
Models
API （Application Interface）
CLOP: CLoud Open Platform in agriculture
API
API
API
API
Faming Data
Field Data
Sensor data
of Agr-Machines
Others
SNS移動監視
Smartphones
Sensor Networks
Such As Field Server
ISO11783
UAV
Satellites
etc.
New Apps
and
Businesses
Consortium
All Data Provided As API
API of Cloud
Services
Satellites
UAV
Smartphone
 Variable rate fertilization
 Harvester equipped with yield sensor
Sensor data
Mashape: Cloud API Hub
https://www.mashape.com/
Mash-Up Using API
for Agricultural Data (FIX-pms)
API
on CLOP
FIX
FARMS
APRAS
Big Data Will Be Created by Using API of Apps
FIX
FARMS
APRAS
The Best Condition Can Be Found on
Nonlinear Models
Predicted yield
Big data






Yield
Fertilizer
Soil temperature
Soil moisture
:
:
…
Last year’s
yield
Last year’s
application of
fertilizer
This year’s
application of
fertilizer
Accumulated
soil moisture
Conclusion
• CLOP is conceptual framework for API mashup.
• CLOP must be flexible, and will include all.
• ANN can utilize big data.
• ICT companies should provide open API.
• Let’s make big data together.
 Let’s make API of agricultural apps.
 Let’s open “How to use API”.
 Let’s make big data together.