Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models

Pervious assessments of crop yield response to climate change are mainly aided with either process-based models or statistical models, with a focus on predicting the changes in average yields, whilst there is growing interest in yield variability and extremes. In this study, we simulate US maize yie...

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Bibliographic Details
Main Authors: Guoyong Leng, Jim W Hall
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ab7b24