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.
Main Authors: | , , , , , , , , , , , , |
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Other Authors: | |
Format: | Parte de livro biblioteca |
Language: | Ingles English |
Published: |
2023-09-20
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Subjects: | Agricultura, Agricultura de Precisão, Agriculture, Precision agriculture, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1156817 |
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