Improving phenology prediction of wheat breeding populations by integrating deep learning and process-based crop models

Agricultural and Forest Meteorology 2026

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Authors: Fengdi Li, Runtao He, Wenliang Yan, Qizhao Fang, Shifeng Cheng, Junliang Hou, YunFeng Xu, Yubing Wu, Yawen Xu, Xue Wang, Liujun Xiao, Leilei Liu
+5 more Leilei Liu, Liang Tang, Weixing Cao, Bing Liu, Yan Zhu
DOI: 10.1016/j.agrformet.2026.111154
Cited by: 1
References: 74

Fields of Study & Subjects

Greenhouse Technology and Climate Control Smart Agriculture and AI Climate change impacts on agriculture

Publication details

Journal / source
Agricultural and Forest Meteorology
Publisher
Elsevier BV
Volume
384
Pages
111154–111154
Publication date
3 April 2026
Language
EN