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The Most Important Predictors of Fertiliser Costs

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dc.contributor.authorMartinho, Vítor
dc.date.accessioned2024-11-12T13:54:35Z
dc.date.available2024-11-12T13:54:35Z
dc.date.issued2024
dc.description.abstractThe control of the fertiliser costs in the agricultural sector is fundamental for the profitability of the farms and to mitigate environmental impacts. Indeed, the fertiliser costs have, at least, two components, one related to the fertiliser prices and the other associated with the amount of fertiliser applied in the farming processes. The fertiliser application in agricultural activities has a relevant impact on soil health and water quality. The efficiency of the processes linked with the fertiliser application in the farms is crucial to avoid disruptions in the sustainable development required for agriculture worldwide. In these frameworks, it is important to bring more insights about the predictors of the fertiliser costs in the European Union farms. Taking into account these motivations, this chapter considered artificial intelligence approaches and data from the European Union databases to identify the most adjusted models. The findings of this research contribute to the understanding of the most important variables to promote more sustainability in the European Union farming sector.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMartinho, V.J.P.D. (2024). The Most Important Predictors of Fertiliser 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_5pt_PT
dc.identifier.doi10.1007/978-3-031-54608-2_5pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/8631
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_5pt_PT
dc.subjectEuropean Union agriculturept_PT
dc.subjectMachine learning modelspt_PT
dc.subjectFarming indicatorspt_PT
dc.titleThe Most Important Predictors of Fertiliser Costspt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage73pt_PT
oaire.citation.startPage61pt_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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