作者: Hevandro C. Delalibera , Pedro H. Weirich Neto , Noemi Nagata
DOI: 10.1590/S0100-69162012000600021
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摘要: The study of spatial variability soil and plants attributes, or precision agriculture, a technique that aims the rational use natural resources, is expanding commercially in Brazil. Nevertheless, there lack mathematical analysis supports correlation these independent variables their interactions with productivity, identifying scientific standards technologically applicable. aim this was to identify patterns according eleven physical seven chemical indicators an agricultural area. It used two multivariate techniques: hierarchical cluster (HCA) principal component (PCA). According HCA, area divided into five management zones: zone 1 2.87ha, 2 0.8ha, 3 1.84ha, 4 1.33ha 5 2.76ha. By PCA, it identified most important within each zone: V% for 1, CTC 2, levels H+Al sand content altitude 5. classified as intermediate characteristics all others. results concluded possible separate groups (management zones) samples same by statistical techniques.