Rancang Bangun Model Deteksi Untuk Tingkat Kematangan Dan Penghitungan Tandan…

This study aims to design a system for detecting ripeness levels and automatically counting oil palm Fresh Fruit Bunches (FFB) using a computer vision approach based on YOLOv8 and ByteTrack algorithms. The main issue addressed is the low efficiency and accuracy of the manual sorting process based on ripeness level, which is still commonly used in the palm oil industry. The system is designed to…