A seeding accuracy test experiment based on soil substrate was investigated. The moving trolley carried the sowing seeders. Meanwhile, the machine vision system sequential images dynamically were collected. Using encoder and PLC etc. , it realized to control camera to collect sequential images through detecting the motion distance of trolley, which realized hardware splicing of the sequential images. In addition of splicing algorithm of image processing, the identification of seeds and the total splicing of the sequential images were completed. Experimental results showed that the matching rate of seed spacing was above 85% , and the accuracy rate of seed spacing was more than 70% . The experiment was repeated many times. The absolute error of the seeding accuracy data was within 4% .%研究了一种基于土壤基质的播种精度检测方法.运动的土槽台车搭载播种机将种子播种到土槽土壤上,同时机器视觉系统动态采集序列图像.采用编码器和PLC等实现台车运动距离检测,控制触发面阵摄像机采集序列图像,完成序列图像的硬件拼接；再通过图像处理拼接算法完成种子的目标识别和序列图像的拼接,得出播种机播种精度结果.试验结果表明:匹配粒距率达85％以上,正确粒距率达70％以上；经多次重复试验后,系统检测的绝对误差在4％以内.
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