Deteksi Kualitas Brondolan Kelapa Sawit Berbasis Pencitraan Komputer Dan Algo…

This study aims to develop an automatic system for detecting the quality of loose fruit of the oil palm using the YOLOv8 algorithm based on digital imaging. A total of 200 loose fruit samples were classified into four quality categories: fresh, rotten, dry, and mouldy. Image acquisition was conducted using an RGB camera with a resolution of 640×480 pixels, resulting in 800 labeled images. The …