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Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review

dc.contributor.authorSantos, Wagner Martins dos
dc.contributor.authorMartins, Lady Daiane Costa de Sousa
dc.contributor.authorBezerra, Alan Cezar
dc.contributor.authorSouza, Luciana Sandra Bastos de
dc.contributor.authorJardim, Alexandre Maniçoba da Rosa Ferraz [UNESP]
dc.contributor.authorSilva, Marcos Vinícius da
dc.contributor.authorSouza, Carlos André Alves de
dc.contributor.authorSilva, Thieres George Freire da
dc.contributor.institutionFederal Rural University of Pernambuco
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFederal University of Campina Grande
dc.date.accessioned2025-04-29T20:10:30Z
dc.date.issued2024-10-01
dc.description.abstractWith the growing demand for efficient solutions to face the challenges posed by population growth and climate change, the use of unmanned aerial vehicles (UAVs) emerges as a promising solution for monitoring biophysical and physiological parameters in forage crops due to their ability to collect high-frequency and high-resolution data. This review addresses the main applications of UAVs in monitoring forage crop characteristics, in addition to evaluating advanced data processing techniques, including machine learning, to optimize the efficiency and sustainability of agricultural production systems. In this paper, the Scopus and Web of Science databases were used to identify the applications of UAVs in forage assessment. Based on inclusion and exclusion criteria, the search resulted in 590 articles, of which 463 were filtered for duplicates and 238 were selected after screening. An analysis of the data revealed an annual growth rate of 35.50% in the production of articles, evidencing the growing interest in the theme. In addition to 1086 authors, 93 journals and 4740 citations were reviewed. Finally, our results contribute to the scientific community by consolidating information on the use of UAVs in precision farming, offering a solid basis for future research and practical applications.en
dc.description.affiliationDepartment of Agricultural Engineering Federal Rural University of Pernambuco, Pernambuco
dc.description.affiliationAcademic Unit of Serra Talhada Federal Rural University of Pernambuco, Pernambuco
dc.description.affiliationDepartment of Biodiversity Institute of Biosciences São Paulo State University—UNESP, São Paulo
dc.description.affiliationPostgraduate in Forestry Sciences Federal University of Campina Grande, Paraíba
dc.description.affiliationUnespDepartment of Biodiversity Institute of Biosciences São Paulo State University—UNESP, São Paulo
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: 001
dc.identifierhttp://dx.doi.org/10.3390/drones8100585
dc.identifier.citationDrones, v. 8, n. 10, 2024.
dc.identifier.doi10.3390/drones8100585
dc.identifier.issn2504-446X
dc.identifier.scopus2-s2.0-85207650605
dc.identifier.urihttps://hdl.handle.net/11449/307855
dc.language.isoeng
dc.relation.ispartofDrones
dc.sourceScopus
dc.subjectforage crops
dc.subjectmachine learning
dc.subjectpasture management
dc.subjectprecision agriculture
dc.subjectremote sensing
dc.subjectUAV monitoring
dc.titleUse of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Reviewen
dc.typeResenhapt
dspace.entity.typePublication
unesp.author.orcid0000-0002-3584-1323[1]
unesp.author.orcid0000-0002-0942-4673[2]
unesp.author.orcid0000-0002-9986-9464[3]
unesp.author.orcid0000-0001-7094-3635[5]
unesp.author.orcid0000-0002-1318-2320[6]
unesp.author.orcid0000-0002-8355-4935[8]

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