Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

This research provides an analytical and predictive framework, based on state-of-the-art machine-learning (ML) algorithms (random forest (RF) and generalized additive models (GAM)), that can be used to assess and improve the Common Agricultural Policy (CAP) impact/performance over the agricultural a...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Dragos Sebastian Cristea, Sarina Rosenberg, Adriana Pustianu Mocanu, Ira Adeline Simionov, Alina Antache Mogodan, Stefan Mihai Petrea, Liliana Mihaela Moga
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
common agricultural policy
random forest
machine learning
generalized additive model
agriculture
rural development
Agriculture
S
Acceso en línea:https://doaj.org/article/561dd661057d446eb59b651eeda44522
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/561dd661057d446eb59b651eeda44522

Ejemplares similares