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

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal Rural University of Pernambuco-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal University of Campina Grande-
Autor(es): dc.creatorSantos, Wagner Martins dos-
Autor(es): dc.creatorMartins, Lady Daiane Costa de Sousa-
Autor(es): dc.creatorBezerra, Alan Cezar-
Autor(es): dc.creatorSouza, Luciana Sandra Bastos de-
Autor(es): dc.creatorJardim, Alexandre Maniçoba da Rosa Ferraz-
Autor(es): dc.creatorSilva, Marcos Vinícius da-
Autor(es): dc.creatorSouza, Carlos André Alves de-
Autor(es): dc.creatorSilva, Thieres George Freire da-
Data de aceite: dc.date.accessioned2025-08-21T22:03:19Z-
Data de disponibilização: dc.date.available2025-08-21T22:03:19Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/drones8100585-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/307855-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/307855-
Descrição: dc.descriptionWith 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.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionDepartment of Agricultural Engineering Federal Rural University of Pernambuco, Pernambuco-
Descrição: dc.descriptionAcademic Unit of Serra Talhada Federal Rural University of Pernambuco, Pernambuco-
Descrição: dc.descriptionDepartment of Biodiversity Institute of Biosciences São Paulo State University—UNESP, São Paulo-
Descrição: dc.descriptionPostgraduate in Forestry Sciences Federal University of Campina Grande, Paraíba-
Descrição: dc.descriptionDepartment of Biodiversity Institute of Biosciences São Paulo State University—UNESP, São Paulo-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationDrones-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectforage crops-
Palavras-chave: dc.subjectmachine learning-
Palavras-chave: dc.subjectpasture management-
Palavras-chave: dc.subjectprecision agriculture-
Palavras-chave: dc.subjectremote sensing-
Palavras-chave: dc.subjectUAV monitoring-
Título: dc.titleUse of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review-
Tipo de arquivo: dc.typevídeo-
Aparece nas coleções:Repositório Institucional - Unesp

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