Prediction of Corn Yield in the USA Corn Belt Using Satellite Data and Machine Learning: From an Evapotranspiration Perspective

Prediction of Corn Yield in the USA Corn Belt Using Satellite Data and Machine Learning: From an Evapotranspiration Perspective

The reliable prediction of corn yield for the United States of America is essential for effective food and energy management of the world. Three satellite-derived variables were selected, namely enhanced vegetation index (EVI), leaf area index (LAI) and land surface temperature (LST). The least abso...

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Bibliographic Details
Main Authors: Zhonglin Ji, Yaozhong Pan, Xiufang Zhu, Dujuan Zhang, Jiajia Dai
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Agriculture
Subjects:
EVI
LAI
LST
LSTM
MODIS
Online Access:https://www.mdpi.com/2077-0472/12/8/1263

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https://www.mdpi.com/2077-0472/12/8/1263

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