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Real-time monitoring of soil information in agricultural fields in Asia using Fieldserver

1 st Global workshop on High Resolution Digital Soil Sensing and Mapping February 5-8, 2008, Sydney-Australia. Real-time monitoring of soil information in agricultural fields in Asia using Fieldserver.

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Real-time monitoring of soil information in agricultural fields in Asia using Fieldserver

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  1. 1st Global workshop on High Resolution Digital Soil Sensing and Mapping February 5-8, 2008, Sydney-Australia Real-time monitoring of soil information in agricultural fields in 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 Kiyoshi Honda5

  2. What is Fieldserver?- To see is to believe - • New technologies developed by NARO • National Agriculture and Food Research Organization • 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

  3. Soil information system by Fieldserver We use ECH2O as a standard soil moisture sensor

  4. Soil sensor http://www.decagon.com/ECH2O/ • 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

  5. Experimental site • in a rain-fed field in Northeast Thailand • Soil moisture distribution changes dynamically according to land use

  6. 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

  7. Diagram of real-time soil information monitoring system • Soil data flow • Soil – sensor – (data logger) – Fieldserver – • Router – Satellite – AIT – NARO – UT

  8. 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

  9. An example of soil monitoring data Soil moisture Water logging To see is to believe! Accumulated precipitation Precipitation Soil temperature

  10. Other sites SRI site in Bogor, Indonesia Spinach field in Chiang Mai, Thailand Cabbage field in Tsumagoi, Japan Glacial lake in Himalaya, Nepal

  11. Soil moisture in Cabbage filed changes according to rain and vegetation To see is to believe! Before harvesting (6/23) Harvesting(7/18) Growing (7/26) Cultivating (7/24) Planting (7/26)

  12. Future of Fieldserverunder National project

  13. 単位:0.1度 45 40 35 30 25 20 15 10 5 Year2050 0 Year2040 1 2 Year2030 3 4 5 Year2020 6 7 8 Year2010 9 10 11 月 12 National Key Technology The Third Science and Technology Basic Plan Council for Science and Technology Policy (CSTP) Group on Earth Observations (GEO) The Ten Year Implementation Plan for Global Earth Observation System of Systems (GEOSS) Earth Observation Data Integration and Fusion Research Initiative (EDITORIA) Graduate School of Engineering Graduate School of Agricultural and Life Sciences Ocean Research Institute Institute of Industrial Science Center for Climate System Research Center for Spatial Information Science Observation Convergence Numerical Simulation & Prediction Model Outputs Socio-economic Data Geographical Information Data Infrastructure and Interoperability Supporting Sound Decision Making

  14. Application of agro-informatics to management of safe agricultural production Societal Benefits Collaboration between University and Institutes Information based on knowledge from scientific data and models ↓ Low-cost, high-quality and safe agricultural production Ecosystem model Agricultural production supporting tool considering propagating information (1997-2000) Prediction of the best cultivation day Soil water prediction model future vegetation of cabbage Tools for data fusion of agricultural information Collaboration system of DB and model (2001-2005) Rice growth model Link to models Decision by agricultural information Tools for data collection Data Integration and Fusion System Most appropriate day Seeding, planting, fertilizing How much pesticide should we spread? input Global observation data for agricultural production Soil moisture control Meteorological data Climate prediction by model Future application Early-warning system for cold-weather damage Check system of right crop for right land system Vegetation data by satellite History of agricultural crop management Real-time observation data in agricultural field Solution of food and environmental issues in the world

  15. 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

  16. Thank you for your attention Masaru Mizoguchi Lab. of International Agro-Informatics Dept. of Global Agricultural Science University of Tokyo JAPAN amizo@mail.ecc.u-tokyo.ac.jp

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