Objectives : This session is a continuous collaboration between Agriculture Working Group and Disaster Mitigation Working Group to enhance regional collaboration on sustainable agriculture, climate change adaptation, and disaster risk reduction for resilient livelihood.
As a follow up from the previous joint session from APAN47, this session aim to follow up all the action items and refine the work plans according to current status. This collaboration will be a platform to create good practices on disaster risk reduction and strengthen networks for sustainable development and innovation within APAN.
Session Chair : Veerachai Tanpipat , Hydro and Agro Informatics Institute, ThailandAgenda : 1. The establishment of National Hydroinformatics and Climate Data Center -
Royboon Rassameethes , Hydro and Agro Informatics Institute (HAII), Thailand Thailand’s disaster in 2011 left severe impairments to the country’s economy and society. This unforgettable disaster evidenced that defragmented hydroinformatics data is a turning key to solve the crisis. As a result, Thailand established “National Hydroinformatics and Climate Data Centre – NHC” to integrate water and weather information from 37 government agencies over the country. The data system and architecture were customized with underlying ICT infrastructures. Thus, the data is well gathered and easy to access, transmit, and transfer to inform policy makers and end users accurately in a timely manner. The centralized database allows both policy makers and end users to promptly respond to normal and crisis water situations and consequently reduces related disaster risk.
2. Current Status and Expectations of Artificial Intelligence Enabled Agriculture in Japan -
Takuji Kiura , National Agriculture and Food Research OrganizationIn Japan, Applications of Artificial Intelligence (AI) to agriculture became prevalent after a farmer applied Google's TensorFlow to selection of cucumbers and helped his mother. Currently, AI is used for measurement of crops, identification and status of fruits, diagnosis of pests, insects, etc. But those system are still separated, therefor not work collaboratively or coordinately. By using these systems more and more on the farm, it is expected that data will be accumulated, and the application of AI will realize a linked system. For example, I expected that in combination with meteorological observation data, environmental observation data, meteorological forecast data, etc., a decision support system and/or a automatic system, from planting planning through post harvesting might be realized.
3. Knowledge enhancement and numerical simulation methods -
Chuan-Yao Lin, Academia Sinica
4. Presentation from NICT -
Ken Murata
Related Sessions :Thursday July 25th, 1:30am-3:00am @ Auditorium Rashdan Baba
Climate Resilient Agriculture for Disaster Risk - DiscussionThursday July 25th, 11:00am-12:30pm @ Auditorium Rashdan Baba
Climate Resilient Agriculture for Disaster Risk - Current Status of the project
