The Application Status and Trends of Machine Vision in Tea Production
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Tea Polyphenols and Effects · Spectroscopy and Chemometric Analyses · Remote Sensing in Agriculture
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Modern Agricultural Equipment Research Institute, Xihua University, Chengdu 610039, China
School of Mechanical Engineering, Xihua University, Chengdu 610039, China
Institute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu 610213, China
Funding
Sichuan Provincial Science and Technology Plan Project · The Agricultural Science and Technology Innovation Program (ASTIP-CAAS)
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