Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture

Keyphrases

• Optical Remote Sensing 100%
• Biophysical Parameters 60%
• Radiative Transfer Model 40%
• SuperDove 40%
• Semi-humid 20%
• Arid China 20%
• Crop Parameters 20%
• Airborne Hyperspectral Images 20%
• Transferable Model 20%
• Spatio-temporal Constraints 20%
• Site-specific Management 20%
• Scalable Model 20%
• Hyperspectral Sensors 20%
• Crop Health 20%
• Red-edge Band 20%
• Data-scarce Regions 20%
• Field Spectrometer 20%
• High-resolution Data 20%
• Systematic Calibration 20%
• Crop Growth Parameters 20%
• High Spatial Resolution Data 20%
• Retrieval Methods 20%
• Mixed Cropping 20%
• Retrieval Approach 20%
• Field Variability 20%

Earth and Planetary Sciences

• Optical Remote Sensing 100%
• Radiative Transfer 50%
• Cropping Practice 25%