Research Progress of Fruit Accurate Recognition Algorithm for Picking Robot

With the development of fruit industry chain automation,fruit picking robot was also being developed and studied.Accurate recognition of target fruit was one of the most important components of fruit picking robot.This paper compares the application status of various algorithms for fruit target recognition,and expounds the application status of various algorithms in fruit picking robot.Among them,the existing fruit target recognition methods mainly have three parts:traditional image processing technology,various machine learning algorithms and deep learning algorithms using various convolutional neural networks.In addition,the common processing methods of fruit image data set and the improvement method of algorithm model are discussed.Through the processing and enhancement of image data and the improvement of algorithm,the accuracy of target recognition was improved.Finally,the future research trend of various algorithms in fruit target recognition was analyzed.