Predicting Maize Yield at the Plot Scale of Different Fertilizer Systems by Multi-Source Data and Machine Learning Methods
Timely and reliable maize yield prediction is essential for the agricultural supply chain and food security. Previous studies using either climate or satellite data or both to build empirical or statistical models have prevailed for decades. However, to what extent climate and satellite data can imp...
Main Authors: | Linghua Meng, Huanjun Liu, Susan L. Ustin, Xinle Zhang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/18/3760 |
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