山东农业科学2024，Vol.56Issue(5)：163-170,8.DOI:10.14083/j.issn.1001-4942.2024.05.021
基于计算机视觉的茶叶嫩芽识别方法研究进展
Research Progress of Tea Bud Recognition Based on Computer Vision
摘要
Abstract
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.关键词
计算机视觉/芽叶嫩芽识别/品质等级分类/智能化采茶Key words
Computer vision/Tea bud recognition/Quality grade classification/Intelligent tea picking分类
农业科技引用本文复制引用
张昆,袁博涵,崔静莹,刘宇洋,毛敏,王鹏,曾庆轩..基于计算机视觉的茶叶嫩芽识别方法研究进展[J].山东农业科学,2024,56(5):163-170,8.基金项目
河南省教育厅重点科研项目(23A510014,22A510009) （23A510014,22A510009）
河南省科技攻关项目(222102210320) （222102210320）
信阳师范学院青年骨干教师资助项目(2022GGJS-04) （2022GGJS-04）
