Title:	Improving coffee yield interpolation in the presence of outliers using multivariate geostatistics and satellite data.
Authors:	SILVA, C. de O. F. GREGO, C. R. MANZIONE, R. L. OLIVEIRA, S. R. de M.
Affiliation:	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.
Date Issued:	2024
Citation:	AgriEngineering, v. 6, n. 1, p. 81-94, Mar. 2024.
Description:	the 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.
Thesagro:	Café Coffea Arábica Agricultura de Precisão Sensoriamento Remoto
NAL Thesaurus:	Precision agriculture Remote sensing Geostatistics
Keywords:	Cokrigagem Variograma Agricultura digital Dados de satélite Geoestatística Coffee yield Cokriging Variogram Digital agriculture
ISSN:	2624-7402
DOI:	https://doi.org/10.3390/agriengineering6010006
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPTIA)