Abstracts of Meeting of the CSSJ
The 262nd Meeting of CSSJ
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Remote sensing, Modeling/Gene, Genome analysis/Photosynthesis, Respiration, Dry-matter production/Quality
Quantifying and Explaining Rice Yield Gaps in a Long-Term Continuous Cropping Experiment Using Crop Models and Machine Learning
*Tomoaki Yamaguchi, Ando Mariot Radanielson, Olivyn Angeles, Kazuki Saito, Keisuke Katsura
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Pages 17

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© 2026 The Crop Science Society of Japan
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