Métodos de interpolações de dados obtidos por sensores utilizados em agricultura de precisão

Abstract

Precision farming is an agricultural management system based on the spatial and temporal variability associated with agricultural production, and aims at increasing productivity, economic return, sustainability and minimizing negative effects on the environment. Allied to precision agriculture management, we have the sensors, which measure soil characteristics in the field, and among them we have the contact sensors, which measures the electrical conductivity, organic matter and soil hydrogenation potential, its use is an excellent option Especially for areas where sample collection is labor intensive. The information collected by the contact sensor is transformed into maps, and the interpolation methods to map generation have errors, in which no information of the best method is available. The objective of this study was to evaluate the errors of the interpolation methods by kriging, inverse distance and normal distance from data of EC, MO and soil pH.