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The identification and positioning of the target branch is the prerequisite for wolfberry automatic picking. In order to realize the automatic harvest of Chinese wolfberry, a new identification approach is researched which can realize the head end positioning of Chinese wolfberry branches. First of all, the contour and diameter of the branches are extracted through analyzing the characteristics of branches. Then, the partial unreasonable disconnected branches are restored, and the least square fitting method is used to achieve branch location for the condition that the head end of the branch is covered by fruits. Finally, a kind of centroid difference value approach is presented to obtain the coordinate of head end of the branches, thus the identification and location are implemented for the whole branch. The algorithm has been programmed with VC, and the experimental results show that the algorithm can realize the position and recognition of branches of Chinese wolfberry.