A comprehensive UK crop yield dataset incorporating satellite, weather, and soil type information
Abstract Agricultural research increasingly relies on data-driven approaches for crop yield prediction that complement more established crop growth models, including machine learning techniques. However, these approaches rely on large training datasets. Here, we present the Crop Yields, Climate, Soi...
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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2026-02-01
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| coleção: | Scientific Data |
| Acesso em linha: | https://doi.org/10.1038/s41597-025-06528-x |
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