Real-time monitoring of Farmland in Asia using Field Server

Transcription

1 International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences 2008 December 5, 2008, Hanoi, Vietnam Real-time monitoring of Farmland in Asia using Field Server Masaru Mizoguchi 1* Shoichi Mitsuishi 2 Tetsu Ito 2 Seishi Ninomiya 3 Masayuki Hirafuji 3 Tokihiro Fukatsu 3 Takuji Kiura 3 Kei Tanaka 3 Hitoshi Toritani 4 Hiromasa Hamada 4 Kiyoshi Honda 6 1 Interfaculty Initiative in information Studies, The University of Tokyo 2 Department of Global Agricultural Science, The University of Tokyo 3 National Agriculture and Food Research Organization 4 National Institute for Agro-Environmental Sciences 5 Japan International Research Center for Agricultural Sciences 6 School of Engineering and Technology, Asian Institute of Technology Introduction Spatial and continuous soil monitoring over large area for assessing impacts of land use and management on soil quality Remote-sensing technique by orbiting satellite Gives us Information on only the surface but the inside of soil. To get Information on the inside of the soil, Soil scientists survey soil profiles and monitor soil physical properties soil water moisture, temperature, EC Some sensors connected to a data logger in a pit selected from large area the selected point is not guaranteed to be representative Therefore, we need a lot of data loggers in a large area 1

2 Original Objective of this research To validate soil moisture data Between remote-sensing and direct measurement (But not yet succeeded) By using Field Sever technology QuickBird In this study, Outline the monitoring system Discuss the problems that we must solve What is Field Server? - 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 2

3 Field or Forest Greenhouse house FTTH,ADSL i-space Mountain Amenity farm Fishing spot Organic farm Farmer's market Farm inn Camping site Farmer's restaurant FiledServer Wireless relay communication Hotspot Soil information system by Field Server We use ECH 2 O as a standard soil moisture sensor 3

4 Soil sensor ECH 2 O 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 Experimental site in a rain-fed field in Khon Kaen, Thailand Soil moisture distribution changes dynamically according to land use 4

5 Meteorological data air temperature humidity radiation wind speed precipitation Monitoring data Soil data at 4, 8, 16, 32 cm soil moisture content temperature electrical conductivity Image data of the site Location (Paddy field in Khon Kaen, Thailand) As of Dec 5, m 5

6 Dry and Rainy seasons of rain-fed paddy field in Khon Kaen, Thailand (Dry season) (Rainy season) Diagram of real-time soil information monitoring system Meshnet router UT FS -2 RS232C FS-1 AIT Satellite Soil data flow IP-star router Agent Box Soil moisture sensors Solar panel Soil sensor (data logger) Field Server Router Satellite AIT NARO UT 6

7 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 Soil moisture Water logging To see is to believe! Accumulated precipitation Precipitation Soil temperature 7

8 Short summary On the way to the goal Not yet progress to compare satellite data Only one field sever is alive! need more reliable FS technology Another possibility of FS Farmland management tool Other sites in Asia Real time demo SRI site in Bogor, Indonesia Spinach field in Chiang Mai, Thailand Cabbage field in Tsumagoi, Japan Peanuts field in Hokusou, Japan 8

9 Soil moisture in Cabbage filed changes according to rain and vegetation To see is to believe! Before harvesting (6/23) Soil water Rain (mm/h) 6 5 Harvesting(7/18) Soil Water (mv) Rain (mm/h) 680 7/4 7/9 7/14 7/19 7/24 DATE 0 Cultivating (7/24) Planting (7/26) Growing (7/26) SRI planting images using Field Server in Bogor, Indonesea (June 6, 2008) FS is promising as a farmland management tool :58 JST(Japanese Standard Time) 9

10 Year2050 Year2040 Year2030 Future of Field Server under Japan s National project Group on Earth Observations (GEO) The Ten Year Implementation Plan for Global Earth Observation System of Systems (GEOSS) National Key Technology The Third Science and Technology Basic Plan Council for Science and Technology Policy (CSTP) Earth Observation Data Integration and Fusion Research Initiative (EDITORIA) Graduate School of Engineering Graduate School of Agricultural and Life Sciences Ocean Research Institute Observation Convergence Institute of Industrial Science Center for Climate System Research Center for Spatial Information Science Numerical Simulation & Prediction Model Outputs Socio-economic Data Geographical Information Data Infrastructure and Interoperability 単位 :0.1 度 月 Year2010 Year2020 Supporting Sound Decision Making 10

11 Application of agro-informatics to management of safe agricultural production Collaboration between University and Institutes Agricultural production supporting tool considering propagating information ( ) Collaboration system of DB and model ( ) Tools for data fusion of agricultural information Ecosystem model Rice growth model Soil water prediction model Societal Benefits Information based on knowledge from scientific data and models Low-cost, high-quality and safe agricultural production Prediction of the best cultivation day future vegetation of cabbage Tools for data collection Global observation data for agricultural production Climate prediction by model Vegetation data by satellite Meteorological data Real-time observation data in agricultural field Link to models Data Integration and Fusion System input History of agricultural crop management Decision by agricultural information Most appropriate day Seeding, planting, fertilizing How much pesticide should we spread? Soil moisture control Future application Early-warning system for coldweather damage Check system of right crop for right land system Solution of food and environmental issues in the world Conclusions - Field Server - 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 (NH 4, NO 3, NO 2, etc)? GHG-sensors (CH 4, N 2 O, etc)? will bring IT in agriculture a big chance under the National project related to the 10-year Implementation Plan for GEOSS 11

12 Problems to be solved FS engineering SSG, SOS by Honda Quick and easy setup Maintenance for stable working of FS Reliability of Soil moisture sensors Quick and easy calibration of sensors for high moisture content range Monsoon-Asia Thank you for your attention Hon Mizo Dec. 27, 2006 Masaru Mizoguchi Lab. of Soil & Agro-Informatics Interfaculty Initiative in information Studies University of Tokyo JAPAN 12