Fruit picking robot operation is an important way to improve fruit picking efficiency and solve labor short-age.Accurate and efficient citrus fruit picking robot has become one of the hotspots in agricultural robot research.Target recognition is the primary task and key technology for citrus fruit picking robots to complete picking operations accurately and efficiently.The traditional target recognition algorithms,machine learning algorithms and deep learning algorithms ap-plied to citrus fruit picking robots in recent years were reviewed in this paper,and the characteristics and applications of different target recognition algorithms were discussed.Finally,the problems existing in the current citrus fruit target recog-nition algorithms were pointed out,and the future development trend of citrus fruit target recognition algorithms was pros-pected.
维普
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