基于机器视觉的穴盘精密播种性能检测系统

针对穴盘精密播种存在重播、漏播以及播种性能不稳定问题，运用机器视觉技术对穴盘精密播种机进行播种性能检测。在穴盘精密播种机上配置性能检测系统，光电传感器根据穴盘位置触发相机，双相机逐行扫描拍摄穴盘图像，图像数据实时传输到计算机，通过视觉算法软件进行图像分析与处理，识别穴盘的播种状况，检测图像与结果同步显示。播种检测试验表明，系统的重播率检测精度为98.94%，漏播率检测精度为99.33%。

Performance Detection System of Tray Precision Seeder Based on Machine Vision

In order to solve the problem of high reseeding, miss seeding and instability issue in the vegetable tray precision seeder, the seedling performance was detected in the tray precision seeder based on machine vision technology. The performance detective device was setting in the tray precision seeder. Double camera took tray images one by one after the tray was detected by photosensor, and then these images were transferred to the computer in real time. The images were processed and analyzed by the vision algorithm software, the seeds could be seen in the tray and the results and photos were displayed on the screen together. The test showed that the reseeding detection accuracy was 98.94% and miss-seeding detection accuracy was 99.33%.