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

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Author(s): SILVA, C. de O. F.; GREGO, C. R.; MANZIONE, R. L.; OLIVEIRA, S. R. de M.

Summary: 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.

Publication year: 2024

Types of publication: Journal article

Unit: Embrapa Digital Agriculture

Keywords: Agricultura de Precisão, Agricultura digital, Café, Coffea Arábica, Coffee yield, Cokrigagem, Cokriging, Dados de satélite, Digital agriculture, Geoestatística, Geostatistics, Precision agriculture, Remote sensing, Sensoriamento Remoto, Variogram, Variograma

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