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’syield

Last year’s application of

fertilizer

Accumulated air

temperature.

Accumulated soil

temperature

Recommendation of fertilizer

Accumulated soil moisture

…

Field Servers for Continuous Data Collection

Low-cost USB DNA Sequencer

Nanopore Technology

More phenotypic data is neededfor breeding.

Phenomics vs. Genomics

Gene + ome = GenomeGenome + ics = Genomics

Phenotype + ome = PhenomePhenome + ics = Phenomics

Genome Data >> Phenome Databy High-throughput Phenotyping

Genome Data >> Phenome Data Environment Data

Genotypic Data << Phenome Data Environment Data

Nanopore Sequencer Sensors in Fields

Massive Deploymentby Open Field Server (Open-FS)

Soil moisture sensor

Solar panel

Inside temperature sensor

Wi-Fi

LED garden light with IR sensor

Soil temperature sensor

Photo sensors

Field Twitter (Open-FS) Has Been Improved.

樹体水分センサ

Towards A Field Phenomics Center

Phenotype data Calibration data for

remote sensing

Wi-Fi Router

1km

Memuro Campus of HARC, NARO

Tweeting data

Tweeting data

Tweeting data

Collecting Microscopic Databy A Smartphone with A Macro Lens

Stomata on beet leaves can be measured.

A macro lens for iPhone

Products with Twitter

Plant Sensor

Data of Agricultural Machinery

Data stream on agricultural machinery

YieldFertilizerChemical

Petition (GPS)SpeedPower

Fuel consumptionSteeringVibration

XML by iGreen Project for Agricultural MachineEU (Germany) leading. USA has a same project (AgGateway)

Reprinted from the Proceeding of AgEng 2011 , pp.294, 2011

・

Farm management data

Contents of FIX-pmsCommon Data Format for Farm Management Data

How Can We Combine Data?

API of Cloud Services Can Be A Method.

Sensor dataof Agr-Machines

ISO11783

移動監視SNSSmartphones

Faming Data Field Data

Sensor NetworksSuch As Field Server

Others

UAVSatellites

etc.

API API API API

API （ Application Interface ）

CLOP: CLoud Open Platform in agricultureNew Apps

andBusinesses

DevelopingNew Businesses

Consortium

Decision Support System GAP

Precision Farming

Models

Applicayions

Let’s Make Big Data for Agriculture!

All Data Provided As API

API of Cloud Services

Satellites

UAV

Variable rate fertilization Harvester equipped with yield sensor

Sensor data

Smartphone

Mashape: Cloud API Hub

https://www.mashape.com/

Mash-Up Using APIfor Agricultural Data (FIX-pms)

FIXFARMSAPRAS

APIon CLOP

FIXFARMSAPRAS

Big Data Will Be Created by Using API of Apps

The Best Condition Can Be Found on Nonlinear Models

Predicted yield

Last year’syield

Last year’s application of

fertilizer

This year’sapplication of

fertilizer

Accumulated soil moisture

Big data Yield Fertilizer Soil temperature Soil moisture : :

…

Conclusion• CLOP is conceptual framework for API

mash-up.• 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.