Optimization and Experimental Study of a Soil Loosening and Root Lifting Device for Shanghai Green (Brassica rapa subsp. chinensis) Harvesting Based on an EDEM-RecurDyn Simulation

To mitigate the high stubble rates (root residue rates) and plant damage associated with the current mechanized harvesting of Shanghai Green (Brassica rapa subsp. chinensis), this study developed and optimized a novel soil loosening and root lifting device. A theoretical dynamic model was first established to analyze the device’s operational principles. Subsequently, a coupled multi-body dynamics and discrete element method (RecurDyn-EDEM) model was established to simulate the complex interactions between the device, soil, and plant roots. Response surface methodology was employed to optimize key operational parameters: walking speed, loosening depth, and vibration frequency. The simulation-based optimization was validated by field tests. The optimal parameters were identified as a walking speed of 0.137 m/s, a loosening depth of 34.5 mm, and a vibration frequency of 1.34 Hz, under which the Shanghai Green pulling force was 35.41 N, yielding optimal extraction performance. Field tests conducted under these optimal conditions demonstrated excellent performance, achieving a qualified plant posture rate of 87.5% and a low damage rate of 7.5%. This research provides a robust design and validated operational parameters, offering significant technical support for the development of low-loss harvesting equipment for leafy vegetables.

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Publication Details

Journal
Agriculture
Published
2025-08-31
DOI
https://doi.org/10.3390/agriculture15171865
Citations
1
Primary Topic
Polymer-Based Agricultural Enhancements
Type
article
Field-Weighted Citation Impact
0.67

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article

Optimization and Experimental Study of a Soil Loosening and Root Lifting Device for Shanghai Green (Brassica rapa subsp. chinensis) Harvesting Based on an EDEM-RecurDyn Simulation

Hanping Mao, Zhiyu Zuo, Yongqiang Fu, Shenghe Zhang et al.
1 citations
Agriculture
Polymer-Based Agricultural Enhancements
0.67
article

Optimization and Experimental Study of a Soil Loosening and Root Lifting Device for Shanghai Green (Brassica rapa subsp. chinensis) Harvesting Based on an EDEM-RecurDyn Simulation

Hanping Mao, Zhiyu Zuo, Yongqiang Fu, Shenghe Zhang, Qingqing Dai, Qinghui Zheng
article en
1 citations

Abstract

To mitigate the high stubble rates (root residue rates) and plant damage associated with the current mechanized harvesting of Shanghai Green (Brassica rapa subsp. chinensis), this study developed and optimized a novel soil loosening and root lifting device. A theoretical dynamic model was first established to analyze the device’s operational principles. Subsequently, a coupled multi-body dynamics and discrete element method (RecurDyn-EDEM) model was established to simulate the complex interactions between the device, soil, and plant roots. Response surface methodology was employed to optimize key operational parameters: walking speed, loosening depth, and vibration frequency. The simulation-based optimization was validated by field tests. The optimal parameters were identified as a walking speed of 0.137 m/s, a loosening depth of 34.5 mm, and a vibration frequency of 1.34 Hz, under which the Shanghai Green pulling force was 35.41 N, yielding optimal extraction performance. Field tests conducted under these optimal conditions demonstrated excellent performance, achieving a qualified plant posture rate of 87.5% and a low damage rate of 7.5%. This research provides a robust design and validated operational parameters, offering significant technical support for the development of low-loss harvesting equipment for leafy vegetables.

AgricultureVol. 15(17)
Jiangsu University (CN)
Priority Academic Program Development of Jiangsu Higher Education Institutions, China Agricultural Research System
Openalex Percentile: Top 27%
Polymer-Based Agricultural Enhancements
0.67
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Optimization and Experimental Study of a Soil Loosening and Root Lifting Device for Shanghai Green (Brassica rapa subsp. chinensis) Harvesting Based on an EDEM-RecurDyn Simulation — Hanping Mao, Zhiyu Zuo, et al. · Agriculture (2025) | TGRS Research Map | TGRS