About this class
Applications of Remote Sensing in Agriculture
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Learning Material
Title
Volume
Unit 1: Hyperspectral Imaging for Crop Stress Detection
5.89 MB
<p>Hyperspectral Imaging for Crop Stress Detection</p>
Unit 2: Machine Learning Algorithms for Crop Classification
5.89 MB
<p>Machine Learning Algorithms for Crop Classification</p>
Unit 3: Integration of SAR and Optical Data for Soil Moisture Estimation
5.89 MB
<p>Integration of SAR and Optical Data for Soil Moisture Estimation</p>
Unit 4: Multi-Temporal Analysis of Vegetation Dynamics
5.89 MB
<p>Multi-Temporal Analysis of Vegetation Dynamics</p>
Unit 5: Precision Agriculture Technologies Using Unmanned Aerial Vehicles (UAVs)
5.89 MB
<p>Precision Agriculture Techniques Using Unmanned Aerial Vehicles (UAVs)</p>
Unit 6: Remote Sensing-Based Crop Yield Prediction Models
5.89 MB
<p>Remote Sensing-Based Crop Yield Prediction Models</p>
Unit 7: Advanced Spectral Indices for Crop Health Monitoring
5.89 MB
<p>Advanced Spectral Indices for Crop Health Monitoring</p>
Unit 8: Satellite Constellations for Real-Time Field Monitoring
5.89 MB
<p>Drones and Satellite Constellations for Real-Time Field Monitoring</p>
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