Incorporating soil moisture data into a machine learning framework improved the predictive accuracy of corn yields in the U.S.
Corn is one of the most important global agricultural commodities, contributing to food, feed, and fuel production. However, in recent decades, it has shown signs of decreasing yield gain and vulnerability to extreme weather events. Understanding environmental factors that influence corn yield is cr...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425004767 |
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