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dc.contributor.authorVASCONCELOS, J. C. S.eng
dc.contributor.authorSPERANZA, E. A.eng
dc.contributor.authorANTUNES, J. F. G.eng
dc.contributor.authorBARBOSA, L. A. F.eng
dc.contributor.authorCHRISTOFOLETTI, D.eng
dc.contributor.authorSEVERINO, F. J.eng
dc.contributor.authorCANÇADO, G. M. de A.eng
dc.date.accessioned2023-04-05T11:50:27Z-
dc.date.available2023-04-05T11:50:27Z-
dc.date.created2023-04-05
dc.date.issued2023
dc.identifier.citationAgriEngineering, v. 5, n. 2, p. 698-719, June 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1153006-
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.language.isoeng
dc.rightsopenAccess
dc.subjectAgricultura digital
dc.subjectModelo preditivoeng
dc.subjectDistribuição gaussiana inversaeng
dc.subjectRemotely piloted aircraft systemseng
dc.subjectRPASeng
dc.subjectDigital agricultureeng
dc.subjectInverse Gaussian distributioneng
dc.titleDevelopment and validation of a model based on vegetation indices for the prediction of sugarcane yield.
dc.typeArtigo de periódico
dc.subject.thesagroCana de Açúcareng
dc.subject.thesagroSaccharum Officinarumeng
dc.subject.nalthesaurusSugarcaneeng
dc.subject.nalthesaurusVegetation indexeng
dc.subject.nalthesaurusModelseng
riaa.ainfo.id1153006
riaa.ainfo.lastupdate2023-04-05
dc.identifier.doihttps://doi.org/10.3390/ agriengineering5020044
dc.contributor.institutionJULIO CEZAR SOUZA VASCONCELOS, FUNDAÇÃO DE APOIO A PESQUISA E AO DESENVOLVIMENTOeng
dc.contributor.institutionEDUARDO ANTONIO SPERANZA, CNPTIAeng
dc.contributor.institutionJOAO FRANCISCO GONCALVES ANTUNES, CNPTIAeng
dc.contributor.institutionLUIZ ANTONIO FALAGUASTA BARBOSA, CNPTIAeng
dc.contributor.institutionDANIEL CHRISTOFOLETTI, COOPERATIVA DOS PLANTADORES DE CANA DO ESTADO DE SÃO PAULOeng
dc.contributor.institutionFRANCISCO JOSÉ SEVERINO, COOPERATIVA DOS PLANTADORES DE CANA DO ESTADO DE SÃO PAULOeng
dc.contributor.institutionGERALDO MAGELA DE ALMEIDA CANCADO, CNPTIA.eng
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