Oil palm is a major commodity in Indonesia’s plantation industry. However, the identification process of fresh fruit bunch (FFB) varieties such as Dura and Tenera is still carried out manually and destructively, making it inefficient and tiring. This research aims to develop a non-destructive identification system based on ultrasonic sensors and Artificial Neural Networks (ANN) to distinguish…