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Studies on precision planting system for plug seedling production using machine vision (part 2) - supplemental seeding method using image processing

机译:使用机器视觉(第2部分) - 使用图像处理的胶幼苗生产精密种植系统研究

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This paper describes the study of a supplemental seeding method using machine vision for inspecting the seed miss in a moving tray and instantly plant the seeds into the empty cavities. The method consisted of the supplemental seeding software and hardware components. The software component had the program for detecting seeds and controlling the supplemental seeding device using image processing. The hardware composed of a supplemental seeding device, which was fitted on a commercial seeder, control box, CCD camera, a personal computer, frame grabber and an I/O board. The detecting software of the supplemental seeding method could detect the seeds in a moving tray at an accuracy of 100% for cucumber, melon, coated lettuce, eggplant and green pepper seeds, and 99.93% for tomato seeds. The image processing signals precisely controlled the supplemental seeding device such that it could plant the seeds into the empty cavities at an accuracy of more than 99% with seeding time of 0.6s per cavity. Therefore, the usefulness of the studied method was recognized for automating the production of plug seedlings.
机译:本文介绍了使用机器视觉检查在移动托盘中的种子未命中的补充种子方法的研究,并立即将种子植入空腔中。该方法包括补充种子软件和硬件组件。软件组件具有用于检测种子的程序并使用图像处理控制补充种子装置。由辅助播种装置组成的硬件,该装置安装在商业播种机,控制箱,CCD摄像机,个人计算机,框架抓斗和I / O板上。补充种子方法的检测软件可以以100%的黄瓜,甜瓜,涂覆的莴苣,茄子和青春药种子的精度检测移动托盘中的种子,番茄种子的99.93%。图像处理信号精确地控制了补充播种装置,使得它可以以超过99%的精度将种子植入空腔中,其接种时间为0.6s /腔。因此,认识到研究方法的有用性用于自动化塞子幼苗的生产。

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