Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo

Abstract

Soil fertility managed by precision agriculture has georeferenced sampling grid as its main data collection method. Although technology is well-accepted , there is a need to improve how techniques are applied in different environments and production systems. The main objective of this study was to analyze different sampling grids in order to identify soil variability of phosphorus and potassium. The research was carried out in the city of Victor Graeff, Rio Grande do Sul, in an area of 19.3 hectares. Three grid samples with regular squares were generated: 71,71x 71,71m (0.5 ha),71,71x141,42 m (1 ha) and 141,42x141,42 m (2 ha), a total of 36, 18 and 9 sampling points, respectively. A descriptive analysis of the data and an evaluation of the relative standard deviation (RSD) was performed, which showed that for both phosphorus and potassium, as the sampling grid size increases and the distance between the points, the dissimilarity of maps increases as well, while evaluating reference sampling grid (71,71x 71,71 m). According to the study, it is recommended to use thicker sampling grid, with a larger number of samples to generate thematic maps with a suitable representation of the spatial variation of phosphorus and potassium. Keywords: Precision Agriculture. Spatial Variability. Relative Deviation Coefficient.