Authors

Abstract

To address the challenges associated with high interrow weeding difficulty and seedling damage in corn fields, a weed removal machine based on crop spacing recognition was designed. It captures crop images at variable speed intervals, obtains corn seedling centroid coordinates via image stitching and skeleton extraction, calculates actual plant spacing through pixel-to-real coordinate transformation, and enables real-time control of the weeding device. Key components were analyzed for motion trajectories and critical parameters. Field tests revealed optimal performance at 0.45 m/s, namely, a 92.6% weed removal rate with 2.05% seedling damage, meeting operational requirements. This research provides technical and equipment support for interrow 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。依据车速信息变化间隔拍摄作物图像，通过图像拼接与骨架提取获取玉米苗质心坐标，结合像素坐标系与实际坐标系之间的转换原理计算出两作物实际株距，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