Research ArticleOpen AccessGoogle Scholar indexed
Tea Image Recognition and Research on Structure of Tea Picking End-Effector
College of Mechanical Engineering, Guizhou Institute of Technology, Guiyang, China
College of Food and Pharmaceutical Engineering, Guizhou Institute of Technology, Guiyang, China
- 1 College of Mechanical Engineering, Guizhou Institute of Technology, Guiyang, China
- 2 College of Food and Pharmaceutical Engineering, Guizhou Institute of Technology, Guiyang, China
Journal of Electronics Cooling and Thermal Control·Volume 13 (2024)·Pages 51–60·Published 30 September 2024·DOI10.4236/jectc.2024.133003
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Abstract
The automated picking technology of tea is an important part of the development of smart agriculture, which affects the development of the tea industry to a certain extent. Tea leaf recognition and robotic tea picking end-effector are the key technologies for automated tea picking. This paper proposes a set of algorithms for tea leaf differentiation and recognition based on the principle of colour difference. And on the basis of this algorithm, a tea picking end-effector is designed. The experiments show that the designed tea picking end-effector has good recognition ability and high tea picking speed.
KeywordsImage Recognition of Tea LeavesTea Picking End-EffectorTea PickingStructure Design
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