TITLE:
Tea Image Recognition and Research on Structure of Tea Picking End-Effector
AUTHORS:
Biao Huang, Shiping Zou
KEYWORDS:
Image Recognition of Tea Leaves, Tea Picking End-Effector, Tea PickingStructure Design
JOURNAL NAME:
Journal of Electronics Cooling and Thermal Control,
Vol.13 No.3,
September
30,
2024
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.