M. Şimşek

Comparative Evaluation of YOLOv11 and U-Net for Automated Fruit Detection, Quality Classification, and Defect Segmentation

Automated fruit monitoring can support postharvest grading, quality control, and precision horticulture, but most computer-vision studies address detection, classification, or segmentation as separate tasks. This study compared pretrained YOLOv11 and U-Net-based frameworks under a common experimental setting for fruit-...