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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2020-01-01
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Series: | Environmental Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/ab7b24 |