Home > Field of Cooperation > Environment (Climate Change, Marine Science) > AI–supported tool development for decarbonized food system
AI–supported tool development for decarbonized food system |
| Principal Investigator / Affiliation | Eri Amasawa (Project Associate Professor) / The University of Tokyo  Japan |
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Santi Phithakkitnukoon (Associate Professor) / Chiang Mai University  Thailand |
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Zainal Arifin Hasibuan (Lead) / University of Dian Nuswantoro  Indonesia |
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| Year Adopted | 2023 |
| Research Period | 3 years |
| General Description of the Research Project | There is an urgent need to reduce greenhouse gas (GHG) emissions from food systems, which account for one-third of global anthropogenic emissions. This project aims to develop a decarbonization strategy using Artificial Intelligence (AI) at each life-cycle stage of the food system. We will use AI in farm management, calculate GHG emissions from menus using image recognition and machine learning, and build a matching platform to reduce food waste. This can propose advanced decarbonization initiatives from upstream to downstream of the food system. |
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Researchers
| Principal Investigator / Country of Research Team | 
Eri Amasawa Japan
Santi Phithakkitnukoon Thailand
Zainal Arifin Hasibuan Indonesia |
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