Research on automatic identification and detection of plug seedlings based on machine vision

In the process of plug seedling, there will be the problem of missing sowing and bad seedlings. At this stage, the method of artificial removal is generally adopted. In the process of research on automatic seedling equipment, visual inspection is a key part of the whole process. This paper takes lettuce seedlings as the research object, establishes a data set, and analyzes its characteristics. The seedling visual recognition system based on YOLOv10 algorithm framework was used to establish an automatic recognition and detection model for plug seedlings. After testing, the model can accurately identify the position of reseeding seedlings, and finally summarized.