CÉSAR 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.2026-07-07http://hdl.handle.net/123456789/456745the 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.openAccessCokrigagemVariogramaAgricultura digitalDados de satéliteGeoestatísticaCoffee yieldCokrigingVariogramDigital agricultureCaféCoffea ArábicaAgricultura de PrecisãoSensoriamento RemotoPrecision agricultureRemote sensingGeostatisticsImproving coffee yield interpolation in the presence of outliers using multivariate geostatistics and satellite data.Artigo de periódico