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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Détails bibliographiques
Auteurs principaux: Cláudia M. Viana, Maurício Santos, Dulce Freire, Patrícia Abrantes, Jorge Rocha
Format: article
Langue:EN
Publié: Elsevier 2021
Sujets:
xAI
Accès en ligne:https://doaj.org/article/214ec55220a846e7910bffcad1440efe
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