Abstract: At present, the tender bud picking of highquality tea is still in the stage of manual picking. Labor shortage and lack of machinery have become the limiting factors for expanding production of highquality tea. As a laborintensive industry, tea production is in urgent need of standardization and mechanization. Whether it is bulk tea or famous tea, mechanization picking is needed to meet the growing production demand. With the development of computer vision, artificial intelligence, automatic control and other new technologies, intelligent agricultural machines have been applied to all aspects of agricultural production. This paper comprehensively analyzes the latest progress in research on key technologies for intelligent picking of highquality tea in our country focuses on the introduction of tender buds image segmentation technology research, tender bud recognition and picking point location technology research, and points out that the current research has problems such as poor robustness of segmentation algorithms, low identification and positioning accuracy, and nonintegration of agricultural machinery and agronomy. In order to improve the precision of picking, the methods such as improved algorithms, technological innovation, integration of agricultural machinery and agronomy are proposed. The aim is to provide a theoretical reference for the realization of intelligent picking of highquality tea.

Key words: high-quality tea, intelligent picking, image segmentation, tender , bud recognition, picking point localization

摘要： 茶叶生产作为劳动密集型产业急需标准化和机械化，无论是大宗茶还是名优茶，都需要实现机械化采摘才能满足日益增长的生产需求。随着计算机视觉、人工智能、自动控制等新技术的发展，智能农机被应用到农业生产的各个方面。综合分析我国名优茶智能化采摘关键技术研究方面的最新进展，重点从嫩芽图像分割技术研究、嫩芽识别及采摘点定位技术研究方面进行介绍，指出目前研究存在分割算法鲁棒性差、识别定位精度低、机艺不融合等问题，提出通过改进算法、技术创新、宜机改良等方法提高采摘精度，旨在为实现名优茶智能化采摘提供理论参考。

关键词: 名优茶, 智能采摘, 图像分割, 嫩芽识别, 采摘点定位