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Leaf Pruning End-Effector for Adaptive Positioning at the Branch-Stem Junction of Tomato Plants

文献类型: 外文期刊

作者: Sun, Yuhuan 1 ; Lu, Wenqiao 2 ; Feng, Qingchun 2 ; He, Liang 2 ; Diao, Hongda 1 ; Ma, Yuhang 2 ; Chen, Liping 1 ;

作者机构: 1.Gansu Agr Univ, Mech & Elect Engn Coll, Lanzhou 730070, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China

3.Beijing Key Lab Intelligent Equipment Technol Agr, Beijing 100097, Peoples R China

关键词: agriculture robot; tomato leaf pruning; end-effector; mechanism design; discrete element; field test

期刊名称:AGRICULTURE-BASEL ( 影响因子:3.6; 五年影响因子:3.8 )

ISSN:

年卷期: 2024 年 14 卷 12 期

页码:

收录情况: SCI

摘要: To address the needs of mechanized tomato leaf pruning, this paper presents the design of an end-effector capable of adaptive positioning at the base of the branch. This design effectively prevents infection at the cut sites of a residual branch and protects the rest of the plant from damage. The design objectives for the pruning actuator were established through the measurement of key parameters related to the morphology and mechanical properties of the lateral branch. Based on this foundation, we developed an innovative gripper featuring a spiral guide groove, enabling simultaneous axial traction and radial cutting of the branch. This design ensures that the branch-stem junction conforms to the cutting blade under shear stress, achieving the required adaptive positioning. By analyzing the mechanical properties of the lateral branch, we modeled the actuator's traction and cutting forces to determine the key geometric parameters of the spiral fingers and the necessary driving torque. We validated the actuator's operational effectiveness through discrete element simulation and practical application tests. The experimental results indicate that when removing the branch, a traction force of 32.5 N and a cutting force of 66.3 N are generated. Harvesting effectiveness tests conducted in the tomato field achieved a success rate of 85%. This research offers technical support for the development of handheld pruning devices and pruning robots.

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