The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms

The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms

The accuracy prediction for the crop yield is conducive to the food security in regions and/or nations. To some extent, the prediction model for crop yields combining the crop mechanism model with statistical regression model (SRM) can improve the timeliness and robustness of the final yield predict...

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Bibliographic Details
Main Authors: Yanxi Zhao, Dengpan Xiao, Huizi Bai, Jianzhao Tang, De Li Liu, Yongqing Qi, Yanjun Shen
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Agriculture
Subjects:
yield prediction
machine learning
APSIM model
climate indices
North China Plain
Online Access:https://www.mdpi.com/2077-0472/13/1/99

Internet

https://www.mdpi.com/2077-0472/13/1/99

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