Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment throu...
Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework
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Publisher
MDPI AG
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Language
English
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Publisher
MDPI AG
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Scope and Contents
Contents
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 and rural environments, easing the identification o...
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Full title
Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_561dd661057d446eb59b651eeda44522
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_561dd661057d446eb59b651eeda44522
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ISSN
2073-4395
E-ISSN
2073-4395
DOI
10.3390/agronomy11112105
