农业工程2025，Vol.15Issue(6)：19-25,7.DOI:10.19998/j.cnki.2095-1795.202506304
农业生产中机器视觉技术应用现状
Application status of machine vision technology in agricultural production
摘要
Abstract
In recent years,agricultural modernization process in China has significantly accelerated,and development requirements for agricultural machinery have been put forward to move forward with automation and intelligence.Machine vision technology as core of intelligent agricultural machinery,plays a crucial role in transformation and upgrading process of intelligent agricultural machinery.Cur-rent application status of machine vision technology in weed recognition,crop growth information monitoring,agricultural robots was systematically sorted out in research.It was found that in agricultural current application scenarios,machine vision technology faced several challenges,such as algorithm adaptability needing to be improved,model generalization ability being relatively insufficient,low coordination between algorithms and agricultural machinery,and data resources being difficult to obtain and insufficiently diversi-fied.On this basis,future application of machine vision technology in agricultural field was proposed to be in multimodal information fusion,lightweight and efficient recognition algorithms,data augmentation and transfer learning,and algorithms optimization for col-laborative adaptability with various types of agricultural machinery.关键词
机器视觉/深度学习/农业生产/农业机器人/生长状态监测Key words
machine vision/deep learning/agricultural production/agricultural robots/growth status monitoring分类
农业科技引用本文复制引用
邱云桥,何婷婷,王春霞,王攀..农业生产中机器视觉技术应用现状[J].农业工程,2025,15(6):19-25,7.基金项目
四川省区域创新合作项目(2024YFHZ0108) （2024YFHZ0108）
国家现代农业产业技术体系四川蚕桑创新团队项目(SCCXTD-2024-17) （SCCXTD-2024-17）
