Design and Experimental Testing of Holly Pruning Machine with Adaptive Adjustment Tool

Authors

  • Xiuhao Yu School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252059, China https://orcid.org/0009-0009-4566-9617
  • Chengming Hou School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252059, China
  • Liqi Qiu School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252059, China https://orcid.org/0009-0000-6274-2382
  • Xuesong Li School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252059, China
  • Penghui Yao School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252059, China
  • Ying Zhao School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252059, China https://orcid.org/0000-0001-9489-6570

Keywords:

Holly, Holly pruning, Adaptive tool adjustment, Spraying, Vision

Abstract

To improve the efficiency of holly pruning, effectively solve the labor intensity of manual handheld pruning machines, and the frequent replacement of tools when pruning different shapes of hollies, this study designed a pruning machine with adaptive tool adjustment. A combination of theoretical calculations, fluid dynamics simulation and analysis, and field testing was employed to design spray application mechanisms and verify their feasibility. Visual distance measurement and target recognition algorithms were used to design visual mechanisms, which were experimentally validated. Based on the principles of kinematics and dynamic simulation analysis, adaptive tool adjustment mechanisms were designed, and the key factors influencing the pruning smoothness rate and residual branch rate of the pruning equipment were identified. Based on the force analysis and parameters from the experimental results, the machine performed well, with a cutting mechanism motor speed of 20.9 kr/min, a tool tilt angle of 50°, and a walking speed of 0.91 m/s. The machine achieved a pruning smoothness rate of 79.3% and a residual branch rate of 8.1%, thereby meeting the requirements for holly pruning in horticultural operations.

 

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Published

2025-06-25 — Updated on 2025-06-25

How to Cite

Yu, X., Hou, C., Qiu, L., Li, X., Yao, P., & Zhao, Y. (2025). Design and Experimental Testing of Holly Pruning Machine with Adaptive Adjustment Tool. BioResources, 20(3), 6736–6764. Retrieved from https://ojs.bioresources.com/index.php/BRJ/article/view/24733

Issue

Section

Research Article or Brief Communication