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
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2026-02-01
Serija:	Scientific Data
Online dostop:	https://doi.org/10.1038/s41597-025-06528-x
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