Real-time monitoring of soil information in agricultural fields i

n Asia using Fieldserver

Masaru Mizoguchi1* Shoichi Mitsuishi1 Tetsu Ito1 Kazuo Oki1 Seishi Ninomiya2 Masayuki Hirafuji2 Tokihiro Fukatsu2 Takuji Kiura2 Kei Tanaka2 Hitoshi Toritani3 Hiromasa Hamada4 Kiyo

shi Honda5

1st Global workshop on High Resolution Digital Soil Sensing and MappingFebruary 5-8, 2008, Sydney-Australia

What is Fieldserver?- To see is to believe -

• New technologies developed by NARO– National Agriculture and Food Research Organ

ization

• An on-site field monitoring system– that collects data on crop, climate and soils in

agricultural fields – and sends the data– along with high-resolution digital photos– to a laboratory via the Internet

• Each FS communicates through a Wi-Fi network

Farmer's market

Greenhouse house

FTTH，ADSL

i-Space

FiledServer

Farmer's restaurant

Mountain

Hotspot Wireless relay communication

Farm inn

Field or Forest

Camping site

Amenity farm Organic farm Fishing spot

Soil information system by Fieldserver

We use ECH2O as a standard soil moisture sensor

Soil sensor

• ECH2O soil moisture sensors measure– volumetric water content accurately and

economically– the dielectric permittivity of the soil

• Benefits include: – TDR-level performance at a fraction of the

cost – Very low power requirement– Easy installation at any depth and

orientation

http://www.decagon.com/ECH2O/

Experimental site• in a rain-fed field in Northeast Thailand

– Soil moisture distribution changes dynamically according to land use

Monitoring data

• Meteorological data – air temperature– humidity– radiation– wind speed– Precipitation

• Soil data at 4, 8, 16, 32 cm – soil moisture content– ground temperature– electrical conductivity

• Image data of the site

Diagram of real-time soil information monitoring system

• Soil data flow– Soil – sensor – (data logger) – Fieldserver –– Router – Satellite – AIT – NARO – UT

RS232C

Soil moisture sensors Solar panel

FS-1FS-2

Meshnet router

Agent BoxIP-star router

SatelliteAIT

UT

RS232C

Soil moisture sensors Solar panel

FS-1FS-2

Meshnet router

Agent BoxIP-star router

SatelliteAIT

UT

Data storage (AIT – NARO – UT)

Real-time monitoring data sent from a rain-fed field

Meteorological data are obtained as a xml-table and graphs

An example of soil monitoring data

Precipitation

Accumulated precipitation

Soil temperature

Soil moisture

Water logging

To see is to believe!

Other sites

SRI site in Bogor, Indonesia Spinach field in Chiang Mai, Thailand

Cabbage field in Tsumagoi, Japan Glacial lake in Himalaya, Nepal

Soil moisture in Cabbage filed changes according to rain and vegetation

680

700

720

740

760

780

7/ 4 7/ 9 7/ 14 7/ 19 7/ 24DATE

Soi

l Wat

er (m

V)

0

1

2

3

4

5

6

Rai

n (m

m/h

)

Soil waterRain (mm/ h)

Before harvesting (6/23)

Harvesting(7/18)

Cultivating (7/24) Planting (7/26)Growing (7/26)

To see is to believe!

Future of Fieldserver

under National project

Group on Earth Observations (GEO)The Ten Year Implementation Plan forGlobal Earth Observation System of Systems (GEOSS)

National Key TechnologyThe Third Science and Technology Basic Plan

Council for Science and Technology Policy (CSTP)

Earth Observation Data Integration and Fusion Research Initiative (EDITORIA)

Data Infrastructureand

Interoperability

Supporting Sound Decision Making

Observation Convergence

1 2 3 4 5 6 7 8 9 10 11 12Year2010Year2020Year2030Year2040Year20500

51015202530354045

単位 :0.1度

月

Numerical Simulation & Prediction Model Outputs

Socio-economic DataGeographical Information

Graduate School of Engineering Graduate School of Agricultural and Life Sciences Ocean Research Institute

Institute of Industrial ScienceCenter for Climate System Research

Center for Spatial Information Science

Application of agro-informatics to management of safe agricultural production

Global observation data for agricultural production

Tools for data fusion of

agricultural information

Collaboration between University and Institutes

input

Agricultural production supporting tool considering propagating information(1997-2000)

Collaboration system of DB and model(2001-2005)

Climate prediction by model

Vegetation data by satellite

Meteorological data

History of agricultural crop management

Data Integration and Fusion System

Link to models

Rice growth model

Soil water prediction model

Ecosystem model

Early-warning system for cold-weather damage

Check system of right crop for right land system

Societal Benefits

Information based on knowledge from scientific data and models

↓Low-cost, high-quality and safe

agricultural production

How much pesticide should we spread?

Most appropriate daySeeding, planting, fertilizing

Soil moisture control

Prediction of the best cultivation

day

future vegetation of cabbage

Decision by agricultural information

Future application

Solution of food and environmental issues in the world

Real-time observation data in agricultural field

Tools for data collection

Conclusions- Fieldserver -

• is a new technology for spatial measurement of agricultural field

• has a great potential for soil Information monitoring

• waits for the development of powerful and useful sensors:– ECHO-TE (Soil moisture, Soil temperature, EC)– Nitro-sensors (NH4, NO3, NO2, etc)?– GHG-sensors (CH4, N2O, etc)?

• will bring precision agriculture a big chance under the National project related to the 10-year Implementation Plan for GEOSS

Thank you for your attention

Masaru Mizoguchi

Lab. of International Agro-InformaticsDept. of Global Agricultural Science

University of TokyoJAPAN

amizo@mail.ecc.u-tokyo.ac.jp