Remote Sensing in Precision Agriculture
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portes grátis
Remote Sensing in Precision Agriculture
Transforming Scientific Advancement into Innovation
Srivastava, Prashant K.; Pandey, Prem Chandra; Munoz Arriola, Francisco; Kayad, Ahmed; Lamine, Salim
Elsevier Science & Technology
10/2023
554
Mole
Inglês
9780323910682
15 a 20 dias
Descrição não disponível.
Section 1. Introduction and Principles of Precision Agriculture
Section 2. PA Practices for soil management
Section 3. PA practices for irrigation water management
Section 4. PA practices for crop management
Section 5. Advanced modelling practices in PA
Section 6. Future Aspects and Challenges in RS for PA
Section 2. PA Practices for soil management
Section 3. PA practices for irrigation water management
Section 4. PA practices for crop management
Section 5. Advanced modelling practices in PA
Section 6. Future Aspects and Challenges in RS for PA
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
; Active and passive remote sensing; Agriculture; Automated methods for soil mapping and monitoring; Biomass retrieval; Biotic factors; Carbon farming information; Chlorophyll; Climate; Climate change; Colombia; Common Agricultural Policy; Crop condition; Crop damage assessment; Crop management; Crop monitoring; Crop productivity; Crop yields; Decision-making; Digital soil mapping; Disease infestation; Drones; European Commission; FAO; Flavescence doree; Food and fiber; Food security; GEOCARBON; GIS; Geoinformation; Geospatial technology; Geostatistics; Grapevine yellows; Green Revolution; Greenhouse gas; Hyperspectral sensors; In situ data; Internet of things; IoT; IoT data; Irrigation; Kriging; Land suitability; Landsat 8; LiDAR imaging; Machine learning; Microwave SAR; Multispectral imaging; Nonparametric regression; Normalized difference vegetation index; Nutrient management; Optical sensors; Palm oil; Pests; Photosynthetic pigments; Phytosanitary; Plant health; Precision agriculture; Regionalized variable; Remote sensing; Resource use efficiency; Rice; Route planning; Salt-affected soils; Satellite imaging; Seed quality; Semivariogram; Sensor; Sensors; Sentinel-2; Sequestration; Site-specific management zones; Smart farming; Soil condition; Soil management; Soil organic carbon; Soil parameters; Spatial variability; Spectral imaging; Spectral reflectance; Spectroscopy; Sustainability; Thermal imaging; UAV; UAVs; Unmixing; Variability-rate applications; Water quality; WorldView-2; Yield; Yield estimation
Section 1. Introduction and Principles of Precision Agriculture
Section 2. PA Practices for soil management
Section 3. PA practices for irrigation water management
Section 4. PA practices for crop management
Section 5. Advanced modelling practices in PA
Section 6. Future Aspects and Challenges in RS for PA
Section 2. PA Practices for soil management
Section 3. PA practices for irrigation water management
Section 4. PA practices for crop management
Section 5. Advanced modelling practices in PA
Section 6. Future Aspects and Challenges in RS for PA
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
; Active and passive remote sensing; Agriculture; Automated methods for soil mapping and monitoring; Biomass retrieval; Biotic factors; Carbon farming information; Chlorophyll; Climate; Climate change; Colombia; Common Agricultural Policy; Crop condition; Crop damage assessment; Crop management; Crop monitoring; Crop productivity; Crop yields; Decision-making; Digital soil mapping; Disease infestation; Drones; European Commission; FAO; Flavescence doree; Food and fiber; Food security; GEOCARBON; GIS; Geoinformation; Geospatial technology; Geostatistics; Grapevine yellows; Green Revolution; Greenhouse gas; Hyperspectral sensors; In situ data; Internet of things; IoT; IoT data; Irrigation; Kriging; Land suitability; Landsat 8; LiDAR imaging; Machine learning; Microwave SAR; Multispectral imaging; Nonparametric regression; Normalized difference vegetation index; Nutrient management; Optical sensors; Palm oil; Pests; Photosynthetic pigments; Phytosanitary; Plant health; Precision agriculture; Regionalized variable; Remote sensing; Resource use efficiency; Rice; Route planning; Salt-affected soils; Satellite imaging; Seed quality; Semivariogram; Sensor; Sensors; Sentinel-2; Sequestration; Site-specific management zones; Smart farming; Soil condition; Soil management; Soil organic carbon; Soil parameters; Spatial variability; Spectral imaging; Spectral reflectance; Spectroscopy; Sustainability; Thermal imaging; UAV; UAVs; Unmixing; Variability-rate applications; Water quality; WorldView-2; Yield; Yield estimation
