Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1181979
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dc.contributor.authorSPERANZA, E. A.
dc.contributor.authorFERREIRA, E. J.
dc.contributor.authorBASSOI, L. H.
dc.date.accessioned2025-11-27T14:48:58Z-
dc.date.available2025-11-27T14:48:58Z-
dc.date.created2025-11-27
dc.date.issued2025
dc.identifier.citationIn: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 5., 2025, São Carlos. Anais [...]. São Carlos: Embrapa Instrumentação, 2025. p. 639-643.
dc.identifier.issn2358-9132
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1181979-
dc.descriptionAbstract: The study of spatio-temporal variability in soil and crop parameters is a crucial first step for the adoption of precision agriculture (PA). Recent research has utilized yield data, soil attributes, multispectral images, and machine learning algorithms to monitor coffee production. This work proposes a method for delineating management zones using spectral bands and vegetation indices derived from satellite imagery, clustering algorithms, and statistical analysis to identify high-quality coffee areas. It offers a data-driven approach to enhance PA practices in coffee plantations.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectÍndices de vegetação
dc.subjectAnálise de agrupamento
dc.subjectSatellite
dc.subjectVegetation indices
dc.subjectClustering analysis
dc.titleMapping coffee management zones using satellite-derived indices and clustering-based methods: a statistical differentiation approach.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroCoffea Arábica
dc.subject.thesagroCafeicultura
dc.subject.thesagroSensoriamento Remoto
dc.subject.thesagroSatélite
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusVegetation index
dc.subject.nalthesaurusCluster analysis
dc.description.notesEditores: Paulo Sergio de Paula Herrmann Junior, Henriette Monteiro Cordeiro de Azeredo, Maria Fernanda Berlingieri Durigan, Luís Henrique Bassoi.
riaa.ainfo.id1181979
riaa.ainfo.lastupdate2025-11-27
dc.contributor.institutionEDUARDO ANTONIO SPERANZA, CNPTIA; EDNALDO JOSE FERREIRA, CNPDIA; LUIS HENRIQUE BASSOI, CNPDIA.
Aparece nas coleções:Artigo em anais de congresso (CNPTIA)

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