During slaughter, chicken carcasses often exhibit defects such as bruises, dirt, and missing parts. Current manual inspection and grading methods are inefficient, subjective, and lack consistency, leading to poor quality control and reduced value. There is an urgent need for automated technology to accurately identify and classify defects, and to standardize grading based on severity for objective and efficient quality management.
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