茶叶识别技术研究现状

Research Status of Tea Identification Technology

茶叶识别技术是实现智能化采茶设备以及摆脱常规采茶所需庞大劳动力问题的重要技术支持。目前,最常用的茶叶识别方式为基于机器视觉的识别技术中的深度学习目标检测以及图像特征识别的方法,通过汇总分析茶叶识别技术的研究现状以及对于其存在的问题进行总结并预测发展趋势,来为我国茶叶采集智能化发展提供借鉴与参考。

Tea Identification Technology is an important technical support to realize intelligent tea picking equipment and get rid of the huge labor force problem needed by conventional tea picking. At present, the most commonly used tea recognition methods are deep learning object detection and image feature recognition based on machine vision, by summarizing and analyzing the research status of tea identification technology and summarizing the existing problems and predicting the development trend, this paper provides reference for the development of tea collection intelligence in China.