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.

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Bibliographic Details
Main Authors: GREGO, C. R., SPERANZA, E. A., RODRIGUES, G. C., LUCHIARI JÚNIOR, A., VENDRUSCULO, L. G., RODRIGUES, C. A. G., INAMASU, R. Y., VAZ, C. M. P., RABELLO, L. M., JORGE, L. A. de C., ZOLIN, C. A., FRANCHINI, J. C., RONQUIM, C. C.
Other Authors: 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.
Format: Parte de livro biblioteca
Language:Ingles
English
Published: 2023-09-19
Subjects:Agricultura, Agricultura de Precisão, Agriculture, Precision agriculture,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1156753
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Summary: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.