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Predictive Artificial Intelligence Approaches of Labour Use in the Farming Sector

2024Book part Restricted access
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dc.contributor.authorMartinho, Vítor
dc.date.accessioned2024-11-12T14:31:21Z
dc.date.available2024-11-12T14:31:21Z
dc.date.issued2024
dc.description.abstractIt is not expected that the agricultural sector absorbs a great part of the employment in developed economies with a dynamic industry and services sector. When the percentage of employment in agriculture is high, this may be a sign of the weak performance of the farms. Every country wants to have a developed farming sector to not compromise the dynamics and performance of the economy. In any case, agricultural employment plays a fundamental role, particularly in rural spaces and in contexts of temporary crises in the remaining economy. Taking into account these motivations, this chapter aims to highlight the main approaches and variables that may be considered to predict labour use in the European Union farms. To achieve these aims, European Union agricultural statistics were considered, as well as models based on the new technologies associated with the digital transition worldwide. The results found may provide pertinent suggestions for a more sustainable farming sector, where the social contributions may be improved.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMartinho, V.J.P.D. (2024). Predictive Artificial Intelligence Approaches of Labour Use in the Farming Sector. 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_10pt_PT
dc.identifier.doi10.1007/978-3-031-54608-2_10pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/8636
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_10pt_PT
dc.subjectAccuracypt_PT
dc.subjectEuropean Union farm accountancy data networkpt_PT
dc.subjectAgricultural employmentpt_PT
dc.titlePredictive Artificial Intelligence Approaches of Labour Use in the Farming Sectorpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage135pt_PT
oaire.citation.startPage125pt_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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