Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States,GIScience & Remote Sensing

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Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States
GIScience & Remote Sensing ( IF 6.7 ) Pub Date : 2024-05-09 , DOI: 10.1080/15481603.2024.2349341
Yuanchao Li _{1,

2,

3} , Hongwei Zeng _{1,

2} , Miao Zhang ₁ , Bingfang Wu _{1,

2} , Xingli Qin ₁

Affiliation

The application of machine learning in crop yield prediction has gained considerable traction, yet uncertainties persist regarding the impact of the yield trends on these predictions and the differ...

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