Abstract: Fruit target detection and recognition based on computer vision is an important cross-disciplinary research topic of target detection, computer vision, agricultural robots, etc. It has important theoretical research significance and practical application value in the fields of smart agriculture, agricultural modernization, and automatic picking robots. As deep learning is widely used in the field of image processing and has achieved good results, fruit target detection and recognition algorithms combining computer vision technology with deep learning methods gradually become the mainstream. This article introduces the tasks, difficulties and development status of fruit target detection and recognition based on computer vision, as well as two types of fruit target detection and recognition algorithms based on deep learning methods. Finally, the public data set used for the training and learning of the algorithm model and the evaluation index for evaluating the performance of the model are introduced, and the current problems in the detection and recognition of fruit targets and the possible future development directions are discussed.

Key words: computer vision, deep learning, fruit detection, target detection