Fruit detection and recognition with deep learning

The artificial intelligence technology has been widely applied in agricultural production. In particular, scientists have designed special robots in different agricultural scenarios, such as Intelligent Pesticide Spraying Drone, Farm Weeding Robot, etc. Here we developed a fruit picking robot, where the accurate identification and discernment of fruits hold a significant role. The deep learning technique is applied to conduct fruit detection and recognition. This technique adopts YOLOv5s as the base network. The network has been trained with a collection of six types of fruit pictures. The empirical findings have unveiled the effectiveness of this fruit detection and recognition technique on diverse test image datasets from different kinds of fruits.