SOYBEAN YIELD FORECAST USING DUAL-POLARIMETRIC C-BAND SYNTHETIC APERTURE RADAR

6 citations as recorded by crossref.

1. Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models S. Sah et al.
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3. Integration of Optical and Synthetic Aperture Radar Data with Different Synthetic Aperture Radar Image Processing Techniques and Development Stages to Improve Soybean Yield Prediction I. Cunha et al.
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5. Harvest date estimation over corn and sunflower fields using Sentinel-1 and RADARSAT constellation mission data and machine learning algorithms S. Khabbazan et al.
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