01312naa a2200373 a 450000100080000000500110000800800410001902200140006002400560007410000230013024501450015326000090029852002010030765000180050865000260052665000190055265000290057165000100060065000200061065000250063065300240065565300170067965300150069665300140071165300230072565300240074865300200077265300140079265300150080670000170082170000200083870000260085877300540088421610562024-01-22       2024    bl uuuu     u00u1 u    #d  a2624-74027 ahttps://doi.org/10.3390/agriengineering60100062DOI1 aSILVA, C. de O. F.  aImproving coffee yield interpolation in the presence of outliers using multivariate geostatistics and satellite data.h[electronic resource]  c2024  athe 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.  aGeostatistics  aPrecision agriculture  aRemote sensing  aAgricultura de Precisão  aCafé  aCoffea Arábica  aSensoriamento Remoto  aAgricultura digital  aCoffee yield  aCokrigagem  aCokriging  aDados de satélite  aDigital agriculture  aGeoestatística  aVariogram  aVariograma1 aGREGO, C. R.1 aMANZIONE, R. L.1 aOLIVEIRA, S. R. de M.  tAgriEngineeringgv. 6, n. 1, p. 81-94, Mar. 2024.