Yield estimation from SAR data using patch-based deep learning and machine learning techniques

Mahya G. Z. Hashemi, Pang-Ning Tan, Ehsan Jalilvand, Brook Wilke, Hamed Alemohammad, Narendra N. Das

Abstract: Highlights•The SAR VH channel exhibits a reliable correlation with crop yield predictions.•Patch-based 3D-CNNs showcase impressive performance with a small number of input features.•Patch-based 3D-CNNs demonstrate significant resilience to noise in data.•Patch-based 3D-CNNs and XGBOOST can estimate crop yield a month prior to harvest using SAR.