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Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 75 / No. 1 / 2025

Pages : 852-864

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DESIGN AND EXPERIMENT OF A CORN INTER-PLANT WEEDING MACHINE BASED ON VISUAL RECOGNITION

基于作物株距信息识别的杂草精准清除机设计与试验

DOI : https://doi.org/10.35633/inmateh-75-73

Authors

JingWen ZHANG

Shandong University of Technology

QiangJi PENG

Shandong Academy of Agricultural Machinery Science

JianMing KANG

Shandong Academy of Agricultural Machinery Science

ZhiFeng DI

Shandong Academy of Agricultural Machinery Science

ShaoWei WANG

Shandong Academy of Agricultural Machinery Science

YingKai CHEN

Shandong Academy of Agricultural Machinery Science

(*) YuLong CHEN

Shandong University of Technology

(*) Corresponding authors:

cyl06471@sdut.edu.cn |

YuLong CHEN

Abstract

In response to the challenges of high difficulty in inter-row weeding and high seedling damage rates in large-field corn cultivation, a weed removal machine based on crop plant distance information recognition was designed. By employing machine vision technology to obtain the centroid coordinates of corn seedlings and transforming the coordinate system to calculate the actual plant spacing between two crops, the control system uses continuous plant spacing information to control the weeding device for inter-plant weeding. The key component, the weeding device, was designed and analyzed to study the weeding motion trajectory and identify the key parameters affecting the motion trajectory. Field trials were conducted based on the design analysis, and the results showed that when the forward speed was 0.45 m/s, the weeding effect was good, with a weeding rate of 92.6% and a seedling damage rate of 2.05%, meeting the operational requirements. This study can provide technical and equipment support for inter-plant weeding.

Abstract in Chinese

针对大田玉米株间除草难度大、伤苗率高的问题,设计了一种基于作物株距信息识别的杂草清除机。通过机器视觉技术获取玉米苗质心坐标,转换坐标系计算出两作物实际株距,利用图像拼接技术得到连续株距信息,控制系统根据株距信息实时控制除草装置;对关键部件除草装置进行设计分析,分析除草运动轨迹,明确影响运动轨迹的关键参数。在设计分析的基础上进行田间试验,试验结果表明,当前进速度为0.45m/s时,除草效果较好,除草率为92.6%,伤苗率为2.05%,满足作业要求,该研究可为株间除草提供技术和装备支撑。

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