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:	Evangeline Corcoran, Daniel P. Bebber, Stelian Curceac, Natalia Efremova, Azam Lashkari, Andrew Mead, Richard J. Morris, Richard F. Pywell, John W. Redhead, Sebastian E. Ahnert
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2026-02-01
叢編:	Scientific Data
在線閱讀:	https://doi.org/10.1038/s41597-025-06528-x
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