RCTUnet: a deep learning model for crop-residue-soil image segmentation and crop residue cover extraction
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Accurate quantification of crop residue cover (CRC) is crucial for monitoring and evaluating conservation tillage practices, yet it poses a significant image segmentation challenge. The subtle visual distinctions between fragmented residue and soil, compounded... ...
