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How to combine socioeconomic assessment and remote sensing methods to recover and group farm plots at risk of abandonment

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How to combine socioeconomic assessment and remote sensing methods to recover and group farm plots at risk of abandonment

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dc.contributor.author Calafat Marzal, Consuelo es_ES
dc.contributor.author Cervera, Francesc J. es_ES
dc.contributor.author Gallego Salguero, Aurea Cecilia es_ES
dc.contributor.author García Alvarez-Coque, José María es_ES
dc.date.accessioned 2024-06-26T18:11:36Z
dc.date.available 2024-06-26T18:11:36Z
dc.date.issued 2023-12-31 es_ES
dc.identifier.issn 1747-423X es_ES
dc.identifier.uri http://hdl.handle.net/10251/205504
dc.description.abstract [EN] The abandonment of farmland is leading to a loss of production capacity in many agricultural systems. This article proposes a methodology for carrying out Joint Cropland Management (JCM) initiatives, which involve the cooperative use of land plots without affecting ownership, in areas with a fragmented land structure. Our framework combines a socioeconomic assessment of farmers with remote sensing and machine learning methods. Areas at risk of abandonment are located, based on which potential land groupings are proposed. The methodology was validated through a pilot test that identified 11 areas showing economic potential for JCM initiatives, comprising 647 abandoned plots, with 154 plots owned by members of an agricultural cooperative. The methodology is easily scalable for application to agricultural systems characterised by atomised land structures. es_ES
dc.description.sponsorship The authors acknowledge the support received from the Universitat Politecnica de Valencia through the research project "Young people and social and organizational innovation in areas with demographic risk" integrated in the research line "Socio-economic analysis of innovation in sustainable agri-food systems (SAS)". We also thank the two reviewers for their suggestions to improve the paper. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof Journal of Land Use Science es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject Cropland abandonment es_ES
dc.subject Agricultural systems innovation es_ES
dc.subject Geographic information systems es_ES
dc.subject Machine learning es_ES
dc.subject Random forest es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification ECONOMIA, SOCIOLOGIA Y POLITICA AGRARIA es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.title How to combine socioeconomic assessment and remote sensing methods to recover and group farm plots at risk of abandonment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/1747423X.2023.2234921 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//20220748//Jóvenes e innovación social y organizativa en áreas con riesgo demográfica/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation Calafat Marzal, C.; Cervera, FJ.; Gallego Salguero, AC.; García Alvarez-Coque, JM. (2023). How to combine socioeconomic assessment and remote sensing methods to recover and group farm plots at risk of abandonment. Journal of Land Use Science. 18(1):263-283. https://doi.org/10.1080/1747423X.2023.2234921 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/1747423X.2023.2234921 es_ES
dc.description.upvformatpinicio 263 es_ES
dc.description.upvformatpfin 283 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\497939 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 1450 es_ES


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