Home > Field of Cooperation > Agriculture (Food) > Speeding up Rice Mutation Breeding to Ensure Food Security Under Climate Change Using Remote Sensing and Interpretable AI
Speeding up Rice Mutation Breeding to Ensure Food Security Under Climate Change Using Remote Sensing and Interpretable AI |
Principal Investigator / Affiliation | Keisuke Katsura (Associate Professor) / Tokyo University of Agriculture and Technology ![]() |
---|---|
Prakobkit Dangthaisong (Agricultural Research Officer) / Senior Professional Level, Khlong Luang Rice Research Center ![]() |
|
Winda Puspitasari (Researcher) / National Research and Innovation Agency (BRIN) ![]() |
|
Year Adopted | 2024 |
Research Period | 3 years |
General Description of the Research Project | This research aims to accelerate mutation breeding for sustainable crop production under climate change by development of innovative phenotyping technology. The Japanese team will develop interpretable AI models to reveal yield limiting factors and identify responsible genes for mutant phenotype by whole genome sequence analysis, while the Thailand and Indonesia teams will conduct rice field trials under various stress conditions. Through joint research by the three teams, it is expected to contribute to robust agricultural production under climate change. |
Photo Gallery | |
Reports | |
Links |
Researchers
Principal Investigator / Country of Research Team | ![]() Keisuke Katsura ![]() Japan ![]() Prakobkit Dangthaisong ![]() Thailand ![]() Winda Puspitasari ![]() Indonesia |
---|