The document discusses efforts by the Japanese government and organizations to develop an interoperable platform for agricultural data exchange and applications. It outlines policies and initiatives to standardize agricultural data, promote open data, and launch groups to gather user scenarios and requirements. It also describes various projects exploring ways to integrate sensor networks, remote sensing, weather data and crop simulation models to provide more accessible and usable agricultural information and decision support services.

1. Development of interoperable platform
for agricultural data
exchange and applications in Japan
Seishi Ninomiya
Institute of Sustainable Agroecosystem Services
University of Tokyo, Japan

2. Policy of Japanese government
• Agricultural data standardization
– Cabinet Secretariat, National Strategy Office of Information
and Communications Technology
– Ministry of Agriculture, Forestry and Fishery
– Ministry of Internal Affairs and Communications
• Open data
– Cabinet Secretariat, National Strategy Office of Information
and Communications Technology
– Ministry of Internal Affairs and Communications
– Ministry of Education, Culture, Sports, Science and
Technology
• Japan Science and Technology Agency

3. W3C Agriculture CG
W3C Team | Posted on: October 15, 2014
The Agriculture Community Group has been launched:
The initial mission of the Agriculture Community Group is to gather and categories
existing user scenarios, which use Web APIs and services, in the agriculture industry
from around the world, and to serve as a portal which helps both web developers and
agricultural stakeholders create smarter devices, Web applications & services, and to
provide bird’s eye view map of this domain which enables W3C and other SDOs to
find overlaps and gaps of user scenarios and the Open Web Platform.
We’ll try to collect facts and knowledge from around the world through crowd-
sourcing, while, at the same time, build a scaffold for it by quickly gathering key topics
from Japanese agricultural stakeholders. Smart Platform Forum supports this early
stages by connecting relevant stakeholders in Japan and organizing face-to-face
meetings if needed to proceed faster.
https://www.w3.org/community/agri/

4. HPC (GPGPU,
Cluster, GRID)
Scenario Simulation
Satellite RS
Agriculture Information Service on Modeling and Scenario Simulation
Sensor
Network
Real Time Update
Cloud & Data Integration
Model
Calibration
Comparison of Satellite LAI and Simulated LAI
0
1
2
3
4
5
0 30 60 90 120 150 180 210 240 270 300 330 360
DOY
LAI
LAI_sat
LAI_sim
UAV
Agri.
Machines,
Application
records
Yield, Soil,
etc.
Weather
Crop Model
Decision
Making
Honda Kiyoshi, Chubu University, SRII
Global Conference 7-10, June 2015, San
Jose, USA

5. Field
Sensor
Networ
k
Remote
Sensing
UAV
Weather
Forecast
Crop
Simulation
Agricultural
Machines
FMIS
Logistics
B2B
Trading
Market
Analysis
B2C
Trading
Isolated System to Interoperable Integrated System
Distribute
d DB
Distribute
d DBDistribute
d DB
Distribute
d DB
Distributed
DB
Appli 1
Field Sensor
Network1
Visualization
Sensor
DB
Appli 2
Field Sensor
Network2
Visualization
Sensor
DB
Standard / Common / Open
API
From Honda Kiyoshi, Chubu University, SRII Global
Conference 7-10, June 2015, San Jose, USA

6. MetBroker Since 2002
• Unified access method to a weather databases
• 17 weather databases, 86,000 weather stations
• Java class library and Web interface (XML, JSON, CSV, ...)
7
Driver
Program
Meteorological data mediation software
Rice Model
Application Layer
Cassava Model
Vegetable Model
Database Layer
Agro-Climate DB
Data from Field
GD-DR&TR
MetBroker
Mediation Layer
Meta data・
・
・
・
・
・

7. MetBroker applications …
8

8. • Other FMISs are also available in Japan.
• Each FMIS has proprietary data without standard data
exchange method
• Very inefficient use of data and programs
9
Several FMISs available in Japan, but….
Agric. cloud “Akisai” by Fujitsu
Agric. cloud by NEC
Smarter agriculture cloud by IBM
Private agric. cloud by Sorimachi
PMS by NARO
FARMS by NARO
By Dr. Yoshida, NARO

9. • A new data expression for faming data is being developed for
data exchange among FMISs
• Current range FIX-pms covers is limited to farm work and
production process management
10
Farm data exchange standard: FIX-pms
By Dr. Yoshida, NARO

10. • Defined based on agroXML.
11
Outline structure of ‘FIX-pms’
APAN 39th in Fukuoka T. Yoshida, NARO

11. EDI surrounding farm body
12
Administra-
tive bodies
MAFF
Local gov. ,
Tax office,
---
Field owner Supplier
Financial
institution
Agric.
consultant
neighbors Consumer
Demander
Research
institute
Private
companies
Certification
authority
Farm
FarmXML
stakeholder
data
expression
ebXML
ebXML
agroXML
agroXML
XBRL
XBRL
HTML5
?XML
XBRL
?XML
?XML
?XML
?XML
EDI=Electronic Data Interchange By Dr. Yoshida, NARO

12. 13
Conceptual sketch of “CLOP”
By Dr. Yoshida, NARO

13. Interoperable Information Platform
Integration Research for Agriculture and Interdisciplinary Field, Ministry of Agriculture
http://www.naro.affrc.go.jp/brain/ibunyakyodo/news/2014/053158.html
Information Platform
Application Service Layer
Sensing / Data Collection Layer
Weather, Farm State, Plant State, Practices
Service Consumers
Web Service
2
1
3
14
Market Info.

14. Multi-Layered Web Service
15
Information Infrastructure
Sensors.
Agricultural
Work
Weather Sta.
Network
Other
Sensor
Interpolation,
Visualization
Weather Generator
Crop Simulation
Standard API
SOS
Open API
Open API
Application
Open API
Application
Visualization
Weather Gen.
Crop Model
All-in-One Application
Combine
Analysis Web
Services
- Easy
development
Virtualized Sensor System
Cross-ministerial Strategic
Innovation Promotion Program (SIP)
Min of Agriculture, Japan
Apps by calling Web Services

15. Structure of API mashup : 4 Layers
16
Term, Code Layer
Data Content
Layer
Data Format
(Container)
Layer
API
Layer
agroXML, Sensor ML, GML/KML, GPX, …
FarmXML(FIX-pms), BIX-pp, GPXX, …
Data structure?
Data meaning?
Data relation?
V
V
V
RDF, UML, …
SOS, WMTS, WMS, WFS, …
MetXML, PDS, …
Content list in certain region of interest
among certain stakeholders, …
Terminology, ontology, …
Code system definition, …
(Language / Localization)
APAN 39th in Fukuoka T. Yoshida, NARO

16. Framework for model development
17
Agro-Climate
Database
・ Observed
・ Predicted
・ Statistical
・ Downscaled
MetBroker
Result Data
・ Crop Yield
・ Growth Period
with Effects of
Climate Change
Data Viewer App
Rice
Cassava
Vegetables
・・・
Crop Models
DSSAT, ORYZA, ...
Meteorological Data
Forecast Meteorological
Data under Climate Change
Field Data
Adaptation and
Mitigation
Strategies
AER1
CCR1
AER3
compare to validate
Weather
Generator
NARO Tanaka and Kiura

17. Giving Interoperability to heterogeneous sensing data
via OGC Standard Web Service for Simulation System
OGCAPI
GetCapabilities
List of authorized
SOS stations with its
sensors
GetObservation
Sensor Data with
Timestamp
1
2
Simulation System
User Interface for Famers
Honda Kiyoshi, Chubu University, SRII Global
Conference 7-10, June 2015, San Jose, USA

18. Thank you very much