Using machine learning for crop yield prediction in the past or the future

The use of ML in agronomy has been increasing exponentially since the start of the century, including data-driven predictions of crop yields from farm-level information on soil, climate and management. However, little is known about the effect of data partitioning schemes on the actual performance o...

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Bibliographic Details
Main Authors: Alejandro Morales, Francisco J. Villalobos
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1128388/full