A data-driven crop model for maize yield prediction
Abstract Accurate estimation of crop yield predictions is of great importance for food security under the impact of climate change. We propose a data-driven crop model that combines the knowledge advantage of process-based modeling and the computational advantage of data-driven modeling. The propose...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-023-04833-y |