Abstract
An automatic potato seedling film-breaking device based on machine vision was designed to reduce the labor intensity of potato film-breaking. The device mainly consists of a motion mechanism, a seedling recognition mechanism, a film-breaking mechanism, etc. Based on single-ridge and single-row potato planting agronomy, the whole structure and key component dimensions of the film-breaking device are determined, the YOLOv5s model is improved to build a potato seedling recognition system, and the film-breaking mechanism based on the parallel CoreXY structure is designed. Potato seedlings at the emerging stage are used as research objects for field film-breaking tests. The results show that the recognition rate of potato seedlings is 89.7%, the qualified rate of film-breaking is 83.5%, and the damage rate is 2.3%. This paper can provide technical support for the development of intelligent film-breaking equipment for potato seedlings.
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