Conventional identification of oil palm varieties, particularly Dura and Tenera, is still carried out destructively and subjectively, making it less suitable for large-scale applications. This study proposes a non-destructive classification method based on computer vision using ImageJ software. A total of 40 fresh fruit bunches (FFB), consisting of 20 Dura and 20 Tenera, were imaged from both t…