The manual classification process of fresh fruit bunches (FFB) in oil palm has limitations, particularly with stacked objects, due to subjective assessment and low efficiency. This research develops an automated system based on computer vision using the YOLOv8 algorithm to detect and classify normal and defective FFB (empty bunches, rotten, long stalks, and long thorns) stacked on a conveyor. A…