MANAGEMENT ZONES DESIGN FOR SOYBEAN CROP USING PRINCIPAL COMPONENTS AND GEOSTATISTICS

ABSTRACT In precision agriculture, determining management zones for soil and plant attributes is a complex process that requires knowledge of several variables, which complicates decisionmaking processes. This study evaluated the spatial variability soybean yield chemical properties using geostatistical multivariate analyses to define in an Oxisol. The between 0 0.2 0.4 m depths were sampled at 70 points. Geostatistical then performed on these data. showed higher depth. semivariogram parameters principal component analysis (PCA) data (PCA 1, PCA 2, 3) both more homogeneous than original maps high similarity map. explained 65.34% (0 m) 70.50% (0.2 variability, grouping yield, organic matter, pH, phosphorous, potassium, calcium, magnesium, sodium. spatialization allowed definition indicated by 3 depths. result indicates area must be managed different strategies fertility increase yield.