Improving coffee yield interpolation in the presence of outliers using multivariate geostatistics and satellite data.
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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.
Palabras clave
Cokrigagem, Variograma, Agricultura digital, Dados de satélite, Geoestatística, Coffee yield, Cokriging, Variogram, Digital agriculture, Café, Coffea Arábica, Agricultura de Precisão, Sensoriamento Remoto, Precision agriculture, Remote sensing, Geostatistics