基于机器视觉技术的智能清选装置现状及展望  

The Current Situation and Prospects of Intelligent Cleaning Devices Based on Mechanical Vision Technology

作　　者：徐英凯 付晓明[1,2] 万秀全 XU Yingkai;FU Xiaoming;WAN Xiuquan(Heilongjiang Bayi Agricultural University,Daqing 163000,China;Key Laboratory of Soybean Mechanized Production,Ministry of Agriculture and Rural Affairs,Daqing 163319,China;Heilongjiang Red Border Farm Co.,Ltd.,Beidahuang Group,Heihe 164300,China)

机构地区：[1]黑龙江八一农垦大学,黑龙江大庆163000 [2]农业农村部大豆机械化生产重点实验室,黑龙江大庆163319 [3]北大荒集团黑龙江红色边疆农场有限公司,黑龙江黑河164300

出　　处：《农机使用与维修》2025年第4期39-44,共6页Agricultural Machinery Using & Maintenance

基　　金：2023年黑龙江省大学生创新训练项目(S202310223097);农业农村部大豆机械化生产重点实验室开放课题(SMP202208);国家现代农业产业技术体系项目(CARS-04-PS32);黑龙江八一农垦大学学成、引进人才科研启动计划项目(XYB201806)。

摘　　要：随着人工智能和图像识别技术的迅速发展,基于机械视觉的智能清选装置在农业自动化领域展现出巨大的潜力和应用前景。该文以机器视觉技术为基础阐述了智能清选装置的基本原理与特征,分析了智能清选装置在农业和工业领域的应用现状,探讨了智能清选装置未来的发展趋势,总结了智能清选装置的重要性和发展前景,提出了该领域未来可能面临的挑战和机遇。With the rapid development of artificial intelligence and image recognition technology,intelligent cleaning devices based on mechanical vision have shown great potential and application prospects in the field of agricultural automation.This article elaborates on the basic principles and characteristics of intelligent cleaning devices based on mechanical vision technology,analyzes the current application status of intelligent cleaning devices in agriculture and industry,explores the future development trends of intelligent cleaning devices,summarizes the importance and development prospects of intelligent cleaning devices,and puts forward the challenges and opportunities that this field may face in the future.

关 键 词：机械视觉 图像识别 人工智能 清选装置 深度学习 

分 类 号：S232[农业科学—农业机械化工程]