Improving coffee yield interpolation in the presence of outliers using multivariate geostatistics and satellite data.

Vista sencilla de ítem
dc.contributorCÉSAR DE OLIVEIRA FERREIRA SILVA, UNIVERSIDADE ESTADUAL DE CAMPINAS; CELIA REGINA GREGO, CNPTIA; RODRIGO LILLA MANZIONE, UNIVERSIDADE DE SÃO PAULO; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS.
dc.creatorSILVA, C. de O. F.
dc.creatorGREGO, C. R.
dc.creatorMANZIONE, R. L.
dc.creatorOLIVEIRA, S. R. de M.
dc.date2024-01-19T11:33:36Z
dc.date2024-01-19T11:33:36Z
dc.date2024-01-19
dc.date2024
dc.date.accessioned2026-07-07T04:17:40Z
dc.descriptionthe objective of this study was to evaluate the use of remotely sensed data as auxiliary variables in the block cokriging (BCOK) modeling of coffee yield characterized by the presence of outliers.
dc.identifierAgriEngineering, v. 6, n. 1, p. 81-94, Mar. 2024.
dc.identifier2624-7402
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1161056
dc.identifierhttps://doi.org/10.3390/agriengineering6010006
dc.identifier.urihttp://hdl.handle.net/123456789/456745
dc.languageeng
dc.rightsopenAccess
dc.subjectCokrigagem
dc.subjectVariograma
dc.subjectAgricultura digital
dc.subjectDados de satélite
dc.subjectGeoestatística
dc.subjectCoffee yield
dc.subjectCokriging
dc.subjectVariogram
dc.subjectDigital agriculture
dc.subjectCafé
dc.subjectCoffea Arábica
dc.subjectAgricultura de Precisão
dc.subjectSensoriamento Remoto
dc.subjectPrecision agriculture
dc.subjectRemote sensing
dc.subjectGeostatistics
dc.titleImproving coffee yield interpolation in the presence of outliers using multivariate geostatistics and satellite data.
dc.typeArtigo de periódico

Archivos

Colecciones

Embrapa Agricultura Digital (CNPTIA)