The food demand is still increasing in the 21st century under rapid population growth, diet transition from grain to meat, use of crops for bio-fuel, etc., while facing the shortage of arable land and water resource for sufficient food production, and frequently occurring extreme weather conditions under global warming which are terrifying stable productivity of food. Moreover, we have to break the dependency of agricultural production on excessive use of chemicals which causes serious environmental impact and food safety issues. Namely, we need to simultaneously accomplish both high productivity and sustainability against several constraints, contributing to SDG 2 (End hunger, achieve food security and improved nutrition, and promote sustainable agriculture).

Realizing that global/regional/local scale earth observation is one of the most important key factors to address those issues by optimizing complex conditions, several groups have been involved in providing satellite observations and ground level observations with statistical information collection and trying to apply such data with some model for agriculture including crop yield forecast, crop growth outlook and agriculture damage assessment. In spite of the importance of merging data from different platforms such as satellite observations and ground observations for better decision support, there are just few good applications of such multi-platform data integration with model and available statistical information.

In this working group, participants representing different observation platforms and decision support system developments will interact to learn about the present status and perspectives of multi-platform observations, and discuss how to provide multi-platform observation environment to achieve sustainable food production particularly focusing on the utilization of wide range of the observations from different domains such as water management, biodiversity, forest management etc., in order to fulfill the above constraints, while clarifying the short-term and long-term goals of the observations. The results of the discussion will lead us to the Input to GEO GLAM (Global Agriculture Monitoring) project for G20 action plan, especially Asia rice crop team activity in GEO GLAM and other international projects including FAO AFSIS, etc.

Co-Chairs:
   Dr. Rizatus Shofiyati (ICALRD, MOA, Indonesia);
   Dr. Seishi Ninomiya (The University of Tokyo);
   Dr. Thuy Le Toan (CESIBO, France).

9:15-12:00	1. Asia Rice/GEOGLAM and related projects in Asia [PDF 4.8MB]
		Chair: Dr. Seishi Ninomiya
	1) Introduction of GEOGLAM and Asia Rice [PDF 2.1MB]
		Sinichi Sobue, JAXA, Japan
	2) Indonesia rice crop monitoring and management using space technology [PDF 9.1MB]
		Rizatus Shofiyati, MOA, Indonesia
	3) India crop monitoring and management using space technology
		P. V. N. Rao, NICES, ISRO, India
	4) Asian Food Security Information System [PDF 2.0MB]
		Shoji Kimura, AFSIS Advisor
	5) GEORICE project - Rice monitoring in Vietnam [PDF 6.4MB]
		Thuy Le Toan, CESIBO, France
	6) Rice crop monitoring in Tsuruoka by using multiple satellite data, Japan [PDF 6.3MB]
		Kei Oyoshi, JAXA, Japan
	7) LAPAN’s applications in agriculture [PDF 6.7MB]
		M. Rokhis Khomarudin, LAPAN, Indonesia
12:00-13:30	Lunch Break
13:30-14:00	1. Asia Rice/GEOGLAM and related projects in Asia (CON’T)
	8) Formosat-2 applications in agriculture, and the future product of Formosat-5 [PDF 7.2MB]
		Franz MC Cheng, NSPO, Chinese Taipei
	9) Indo-Japan joint project for sustainable agricultural production under climatic change [PDF 7.3MB]
		Seishi Ninomiya, U. Tokyo
	10) Discussion
	Additional slides
	- Asia-Pacific Plan of Action for Space Applications [PDF 432KB]
	- A Spatial Decision Support System for Agriculture and Natural Resources Management in China [PDF 5.4MB]
14:00-15:30	2. Technology innovation for rice productivity monitoring
		Chair: Dr. Rizatus Shofiyati
	1) High-performance crop monitoring by drone [PDF 360KB]
		Ryo Sugiura, NARO. Japan
	2) Environmental data sets provided by Institute for Agro-Environmental Sciences, NARO [PDF 3.7MB]
		Takuji Kiura, NARO, Japan
	3) Interoperable platform of agricultural decision support [PDF 2.5MB]
		Kiyoshi Honda, Chubu U., Japan
	4) Climatic change modeling [PDF 5.0MB]
		Atsushi Higuchi, Chiba U., Japan
	5) Discussion
15:30-16:00	Coffee Break
16:00-17:30	3. Panel Discussion [PDF 4.9MB] High-performance rice productivity estimation by integration of satellite and ground data with model for decision making Chair: Dr. Shinich Sobue ･Topics to be discussed     Multi-platform observations     Interoperable platform     Innovation for crop models     System implementation and maintenance ･ Panelists     Supported invitees and co-chairs Additional slides - Yield feature of rice [PDF 64KB]