DocumentCode :
1785280
Title :
FieldTouch: An Innovative Agriculture Decision Support Service Based on Multi-scale Sensor Platform
Author :
Kiyoshi, Honda ; Yui, Akihiro ; Ines, Amor V. M. ; Chinnachodteeranun, Rassarin ; Witayangkurn, Apichon ; Matsubara, Yasuko ; Nagai, Hiroto ; Miyamoto, Jun
Author_Institution :
Chubu Univ., Kasugai, Japan
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
228
Lastpage :
229
Abstract :
We are developing an agricultural information service platform called Field Touch. More than 100 farmers in Hokkaido, Japan, are participating on this development and they are utilizing our services for optimizing their daily agricultural practices. Field Touch integrates multi-scale sensor data for field monitoring, provides functionality for recording agricultural practices, then supports farmers in decision making. We are updating Rapid eye satellite images every two weeks, and field sensor data from 25 nodes every 10 minutes. Data from national weather observation network, AMeDAS is also a data source at a daily basis. We use "cloud Sense" sensor backend service that serves meta-data and data to Field Touch via standard web service, SOS (Sensor Observation Service), which brought us a great flexibility and automation in operating the system. We developed a successive simulation scheme as a part of Field Touch for evaluating the impact of climate variability and agricultural practices.
Keywords :
Web services; agriculture; cloud computing; decision making; decision support systems; innovation management; meta data; sensor fusion; AMeDAS; FieldTouch; Hokkaido; Japan; Rapideye satellite images; SOS; agricultural practices; cloudSense sensor backend service; decision making; innovative agriculture decision support service; multiscale sensor data; multiscale sensor platform; national weather observation network; sensor observation service; standard Web service; Agriculture; Clouds; Data models; Educational institutions; Meteorology; Production; Satellites; Sensor Observation Service; agriculture; climatological variability; crop simulation; decision support; field sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference (SRII), 2014 Annual SRII
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/SRII.2014.39
Filename :
6879686
Link To Document :
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