The Application Status and Trends of Machine Vision in Tea Production

文献类型： 外文期刊

第一作者： Yang, Zhiming

作者： Yang, Zhiming;Lu, Jinzhu;Peng, Kaiqian;Yang, Zhiming;Lu, Jinzhu;Peng, Kaiqian;Yang, Zhiming;Ma, Wei;Tian, Zhiwei;Peng, Kaiqian

作者机构：

关键词： machine vision; tea production; disease recognition; intelligent picking; quality grading

期刊名称：APPLIED SCIENCES-BASEL （ 影响因子：2.7； 五年影响因子：2.9 ）

ISSN：

年卷期： 2023 年 13 卷 19 期

页码：

收录情况： SCI

摘要： The construction of standardized tea gardens is the main trend in the development of modern agriculture worldwide. As one of the most important economic crops, tea has increasingly stringent requirements placed on its planting capacity and quality. The application of machine vision technology has led to the gradual development of tea production moving towards intelligence and informatization. In recent years, research on tea production based on machine vision technology has received widespread attention, as it can greatly improve production efficiency and reduce labor costs. This article reviews the current application status of machine vision technology in tea pest monitoring, intelligent harvesting, quality evaluation, and classification, and analyzes and discusses specific challenges around machine vision technology in tea production; for example, this technology lacks a standard database and weather interference, training errors in the model, and differences in the hardware computing speed can become a challenge. Based on the current research and application of machine vision technology in various fields, this article looks ahead to the development prospects and future trends of machine vision technology in tea production applications, such as future research to further integrate multiple types of sensors, improvements in the quality and usability of datasets, optimized model algorithms for existing problems, dissemination of research results, and intelligent management of tea production through machine vision technology.

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