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Important Indicators for Predicting Crop Protection Costs

2024Book part Restricted access
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dc.contributor.authorMartinho, Vítor
dc.date.accessioned2024-11-12T13:57:19Z
dc.date.available2024-11-12T13:57:19Z
dc.date.issued2024
dc.description.abstractThe crop protection costs have economic impacts on the profitability of the farms and environmental consequences due to, in some circumstances, the residues that remain in the soils after the application. The crop protection application may have also direct impacts on human health, because of the residues which remain in the agricultural products, particularly when applied in a non-efficient way. The Common Agricultural Policy in the European Union has already a set of measures to encourage farmers to reduce the level of crop protection application in farming activities. In any case, it is important to bring more insights into these contexts, specifically identifying the most important predictors of crop protection costs in the European Union farms. To achieve these objectives, this study takes into account approaches from the new technologies associated with the digital transition and data from the European Union Farm Accountancy Data Network. The insights obtained allowed us to highlight the most adjusted models and the most important variables to predict crop protection costs in European agriculture.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMartinho, V.J.P.D. (2024). Important Indicators for Predicting Crop Protection Costs. In: Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-54608-2_6pt_PT
dc.identifier.doi10.1007/978-3-031-54608-2_6pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/8632
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer, Champt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-54608-2_6pt_PT
dc.subjectDigital transitionpt_PT
dc.subjectEuropean Union farm accountancy data networkpt_PT
dc.subjectCommon agricultural policypt_PT
dc.titleImportant Indicators for Predicting Crop Protection Costspt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage85pt_PT
oaire.citation.startPage75pt_PT
person.familyNamePereira Domingues Martinho
person.givenNameVítor João
person.identifier.ciencia-idF510-903F-51FA
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublicationd99fa017-5c04-4606-b382-f069996da23f
relation.isAuthorOfPublication.latestForDiscoveryd99fa017-5c04-4606-b382-f069996da23f

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