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This collaborative project between Japan and India aims to deploy a sensor network test bed in a rural Indian area for evaluating and improving existing Decision Support Systems (DSS) and Geographic Information Systems (GIS). The project focuses on developing an integration framework for sensor network data and Indian DSS/GIS, evaluating the integrated system, and conducting tests and validation. It involves scientist exchanges, workshops, and annual meetings to facilitate knowledge sharing and collaboration. Through this project, both Japan and India seek to enhance functions of Field Servers, adapt to arid climates, and improve GIS-based user interface design. Indian participants aim to grasp sensor network and grid-computing technologies in dynamic agriculture systems and strengthen the ongoing collaboration model 'GramyaVikas.'
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Japan-India Sensor Network Project Masayuki Hirafuji 1,2) , Adinarayana Jagarlapudi3) , Seishi Ninomiya 1,2) 1) NARONational Agriculture and Food Research Organization 2) University of Tsukuba 3) Indian Institute of Technology-Bombay (IIT-Bombay)
Research and development • Deployment of a sensor network test bed in an Indian rural area and its evaluation • Improvement of existing DSS/GIS • Development of integration framework for sensor network data and Indian DSS/GIS/etc. • Evaluation of integrated system • Test and validate the integrated system • Presentation of results, report writing, etc.
Action Plan • Scientist exchangesOne or two Researchers will stay at the partners institute for a • Meetings • Kick-off meeting at IIT (Feb. 2008) • A whole day workshop during AFITA/WCCA2008 in Tokyo (Aug. 2008) • A workshop possibly with Indian Society (2009) • A workshop possibly with Japanese Society (2010) • Annual meetings (December 2008, 2009, 2010)Evaluation of integrated system • Test and validate the integrated system • Presentation of results, report writing, etc.
Bilateral points of view Japan side • to have an opportunity to strengthen the functions of Field Server by adapting it • to arid and semiarid climate • to learn about GIS-based user interface design and implementation that • combines several different data resources to support DSS
Bilateral points of view Indian side • to understand the sensor network and grid-computing technologies in dynamic agriculture and rural systems • opportunity to strengthen the ongoing distributed collaboration model ‘GramyaVikas’