The design and experiment of mushroom root cutting robot

This paper designs and validates a mushroom root-cutting robot compatible with a suction cup-type harvesting robot, aiming to address the issues of high labor intensity and low efficiency in manual root-cutting. By analyzing the physical parameters of mushrooms (stem diameter: 10–20 mm), an adaptive root-cutting solution based on mechanical-sensor collaborative control is proposed, incorporating a dual-round belt transmission system, a posture correction device, and a high-speed rotary cutting device. Experimental results show that the optimized robot achieves an 80.2% reception success rate, 86.3% qualified root-cutting rate, and 78.8% conveying success rate, with a cutting accuracy of ±0.5 mm. The system significantly enhances the automation level of mushroom root-cutting through posture correction and dynamic cutting adjustment (400 rpm rotary blade), providing technical references for subsequent industrial applications.

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.1117/12.3082799
Primary Topic
Fungal Biology and Applications
Type
article
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The design and experiment of mushroom root cutting robot

Jianlei Zhang, Yixuan Tang, Zhengyu Tian, Z. Q. Liu et al.
Fungal Biology and Applications
article

The design and experiment of mushroom root cutting robot

Jianlei Zhang, Yixuan Tang, Zhengyu Tian, Z. Q. Liu, Xinyi Li, Huanhuan Zhang
article en

Abstract

This paper designs and validates a mushroom root-cutting robot compatible with a suction cup-type harvesting robot, aiming to address the issues of high labor intensity and low efficiency in manual root-cutting. By analyzing the physical parameters of mushrooms (stem diameter: 10–20 mm), an adaptive root-cutting solution based on mechanical-sensor collaborative control is proposed, incorporating a dual-round belt transmission system, a posture correction device, and a high-speed rotary cutting device. Experimental results show that the optimized robot achieves an 80.2% reception success rate, 86.3% qualified root-cutting rate, and 78.8% conveying success rate, with a cutting accuracy of ±0.5 mm. The system significantly enhances the automation level of mushroom root-cutting through posture correction and dynamic cutting adjustment (400 rpm rotary blade), providing technical references for subsequent industrial applications.

Shanghai University of Engineering Science (CN)
Openalex Percentile: Top 71%
Fungal Biology and Applications
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