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
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