Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning

Early and accurate prediction of grain yield is of great significance for ensuring food security and formulating food policy. The exploration of key growth phases and features is beneficial to improving the efficiency and accuracy of yield prediction. In this study, a hybrid approach using the WOFOS...

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Bibliographic Details
Main Authors: Yiting Ren, Qiangzi Li, Xin Du, Yuan Zhang, Hongyan Wang, Guanwei Shi, Mengfan Wei
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Plants
Subjects:
Online Access:https://www.mdpi.com/2223-7747/12/3/446