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INMATEH Agricultural Engineering
Article . 2025 . Peer-reviewed
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DESIGN AND TEST OF A CLAMPING-SHEAR INTRA-ROW WEEDING DEVICE

夹持剪切式株间除草装置设计与试验
Authors: Jiacheng ZHOU; Min FU; Jianhao CHEN; Ji CUI;

DESIGN AND TEST OF A CLAMPING-SHEAR INTRA-ROW WEEDING DEVICE

Abstract

Aiming at the complexity and insufficient adaptability of current weeding devices for ridge tillage, this paper presents the design of a clamping-shear weeding device that mimics the hand-grabbing motion. Through the force analysis of the weed root system, the optimal shovel surface inclination angle is determined to be 10°~40°. To ensure the sliding cutting condition, the shovel blade angle is calculated and determined as 30°. Based on the Mohr-Coulomb shear theory, the weed resistance model is developed, and the shovel width is set at 50 mm based on the principle of minimum resistance. A single-factor test was conducted with the soil penetration depth of 40 mm and the clamping-shear speed of 4 cm/s, the results showed that the weed removal rate was over 85% and the crop injury rate was less than 6%, meeting the operational requirements of intra-row weeding. The optimal performance was observed with the shovel inclination angle of 30°.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
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