Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural sector in the European Union and considers statistical i...

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Bibliografische gegevens

Hoofdauteur:	Martinho, Vitor Joao Pereira Domingues (Auteur)
Coauteur:	SpringerLink (Online service)
Formaat:	Elektronisch E-boek
Taal:	Engels
Gepubliceerd in:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Editie:	1st ed. 2024.
Reeks:	SpringerBriefs in Applied Sciences and Technology,
Onderwerpen:	Machine learning. Production management. Agriculture > Economic aspects. Power resources. Environmental economics. Machine Learning. Production. Agricultural Economics. Resource and Environmental Economics.
Online toegang:	https://doi.org/10.1007/978-3-031-54608-2
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