Development and validation of a model based on vegetation indices for the prediction of sugarcane yield.

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dc.contributorJULIO CEZAR SOUZA VASCONCELOS, FUNDAÇÃO DE APOIO A PESQUISA E AO DESENVOLVIMENTO
dc.contributorEDUARDO ANTONIO SPERANZA, CNPTIA
dc.contributorJOAO FRANCISCO GONCALVES ANTUNES, CNPTIA
dc.contributorLUIZ ANTONIO FALAGUASTA BARBOSA, CNPTIA
dc.contributorDANIEL CHRISTOFOLETTI, COOPERATIVA DOS PLANTADORES DE CANA DO ESTADO DE SÃO PAULO
dc.contributorFRANCISCO JOSÉ SEVERINO, COOPERATIVA DOS PLANTADORES DE CANA DO ESTADO DE SÃO PAULO
dc.contributorGERALDO MAGELA DE ALMEIDA CANCADO, CNPTIA.
dc.creatorVASCONCELOS, J. C. S.
dc.creatorSPERANZA, E. A.
dc.creatorANTUNES, J. F. G.
dc.creatorBARBOSA, L. A. F.
dc.creatorCHRISTOFOLETTI, D.
dc.creatorSEVERINO, F. J.
dc.creatorCANÇADO, G. M. de A.
dc.date2023-04-05T11:50:27Z
dc.date2023-04-05T11:50:27Z
dc.date2023-04-05
dc.date2023
dc.date.accessioned2026-07-07T04:17:20Z
dc.descriptionThis study aimed to develop a predictive model for sugarcane production based on data extracted from aerial imagery obtained from drones or satellites, allowing the precise tracking of plant development in the field.
dc.identifierAgriEngineering, v. 5, n. 2, p. 698-719, June 2023.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1153006
dc.identifierhttps://doi.org/10.3390/ agriengineering5020044
dc.identifier.urihttp://hdl.handle.net/123456789/456521
dc.languageeng
dc.rightsopenAccess
dc.subjectAgricultura digital
dc.subjectInverse Gaussian distribution
dc.subjectModelo preditivo
dc.subjectDistribuição gaussiana inversa
dc.subjectRemotely piloted aircraft systems
dc.subjectRPAS
dc.subjectDigital agriculture
dc.subjectSaccharum Officinarum
dc.subjectCana de Açúcar
dc.subjectSugarcane
dc.subjectModels
dc.subjectVegetation index
dc.titleDevelopment and validation of a model based on vegetation indices for the prediction of sugarcane yield.
dc.typeArtigo de periódico

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