Dual ensemble approach to predict rice heading date by integrating multiple rice phenology models and machine learning-based genetic parameter regression models
| Autor: | Kawakita, Satoshi, Yamasaki, Masanori, Teratani, Ryo, Yabe, Shiori, Kajiya-Kanegae, Hiromi, Yoshida, Hiroe, Fushimi, Erina, Nakagawa, Hiroshi |
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| Zdroj: | In Agricultural and Forest Meteorology 15 January 2024 344 |
| Databáze: | ScienceDirect |
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