Recognition of the position of Chinese wolfberry branches under the artificial background

Chinese wolfberry is one of the important economic crops in Northwest china Wolfberry harvest is seasonal and labor intensive, and, the existing various types of Chinese wolfberry harvesting equipment cannot meet the operation requirements. Thus the development of low damage and intelligent equipment is important to guarantee the healthy development of the industry. Many kinds of intelligent recovery equipment need accurate location information of branches of Chinese wolfberry. However, the color of the branches is close to the natural background, and the occlusion is serious, resulting in difficulties in identifying the branches. Aiming at solving these problems, a method of identifying branches of wolfbeny based on mathematical morphology and convex hull theory is proposed in this paper. Compared with artificial recognition, the success recognition rate is more than 60%. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.