基于计算机视觉的茶叶嫩芽识别方法研究进展OA北大核心CSTPCD

Tea bud picking has been relying on hand picking,its mechanization is still a difficult prob-lem.In recent years,with the rapid development,computer vision technology provides the prerequisite for in-telligent tea bud picking,which has been widely concerned by researchers,and has taken the lead in the field of tea bud recognition.In this paper,the research progress of tea bud recognition was summarized from two as-pects of tea bud detection and recognition and tea bud quality classification and recognition;the tea bud detec-tion and recognition methods based on traditional image processing,machine learning algorithm and deep learning algorithm were introduced,and the advantages and disadvantages of each method were compared,a-mong which,the application of deep learning algorithm in tea bud quality classification was focused on;the hot spots and difficulties in current tea bud research field were summarized,and the future research direction on tea bud recognition was prospected in order to provide technical support for intelligent tea bud picking.