Yu, S.L. (2024) Optimization Design and Experimental Study of Tea-Plucking Machine with Adaptive Adjustment of Cutter. Master’s Thesis, Fujian Agriculture and Forestry University.

has been cited by the following article:

• 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.