Evaluation of the factors explaining the use of agricultural land: A machine learning and model-agnostic approach

To effectively plan and manage the use of agricultural land, it is crucial to identify and evaluate the multiple human and environmental factors that influence it. In this study, we propose a model framework to identify the factors potentially explaining the use of agricultural land for wheat, maize...

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Autores principales: Cláudia M. Viana, Maurício Santos, Dulce Freire, Patrícia Abrantes, Jorge Rocha
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
xAI
Acceso en línea:https://doaj.org/article/214ec55220a846e7910bffcad1440efe
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