Dual ensemble approach to predict rice heading date by integrating multiple rice phenology models and machine learning-based genetic parameter regression models

Satoshi Kawakita, Masanori Yamasaki, Ryo Teratani, Shiori Yabe, Hiromi Kajiya‐Kanegae, Hiroe Yoshida, Erina Fushimi, Hiroshi Nakagawa