Recognition of the position of Chinese wolfberry branches under the artificial background. Issue 17 (2018)

• Record Type: Journal Article
• Authors: Yun, Chen; Yalei, Wang; jian, Zhao; Jun, Chen
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 17(2018)
• Page Start: 321
• Page End: 325
• Publication Date: 2018
• Subjects: Branches of Lycium barbarum -- recognition -- convex hull theory; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.08.198
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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 wolfberry 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%.