Technologies developed in precision agriculture.

Introduction. Collecting, storing, and analyzing data in PA. Identification of soil spatial variability: Soil sampling; Electrical conductivity. Identification of crop spatial variability: Productivity mapping; Proximal sensing; Suborbital and remote sensing. Cloud data storage: Data analysis in PA: Data mining and pattern extraction; Filtering tools and data cleaning; Geostatistics and spatial interpolation; Outlining management zones; On-farm experiments, spatial correlation, and recommendations. Practical applications in precision agriculture: Characterization of the spatial variability in southern Minas Gerais specialty coffee production systems; Spatial and spectral behavior in sugarcane and its correlation to soil electrical conductivity; PA technologies in fiber and grain management systems in the state of Mato Grosso; RPA applications in different crops. Final considerations