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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212054/ https://www.ncbi.nlm.nih.gov/pubmed/32395176 http://dx.doi.org/10.1088/1748-9326/ab7b24 |