CELIA REGINA GREGO, CNPTIA; EDUARDO ANTONIO SPERANZA, CNPTIA; GUSTAVO COSTA RODRIGUES, CNPTIA; ARIOVALDO LUCHIARI JUNIOR, CNPTIA; LAURIMAR GONCALVES VENDRUSCULO, CNPTIA; CRISTINA APARECIDA G RODRIGUES, CNPM; RICARDO YASSUSHI INAMASU, CNPDIA; CARLOS MANOEL PEDRO VAZ, CNPDIA; LADISLAU MARCELINO RABELLO, CNPDIA; LUCIO ANDRE DE CASTRO JORGE, CNPDIA; CORNELIO ALBERTO ZOLIN, CPAMT; JULIO CEZAR FRANCHINI DOS SANTOS, CNPSO; CARLOS CESAR RONQUIM, CNPM.2026-07-07http://hdl.handle.net/123456789/462925Introduction. 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.125-144openAccessAgriculturaAgricultura de PrecisãoAgriculturePrecision agricultureParte de livro