摘要
传统田间除草方法需要大量人力和时间,而且存在一定安全隐患。而智能除草技术则能够自动识别和定位田间杂草,进行精准喷洒除草剂,不仅能够提高工作效率,还能够降低人员接触除草剂的风险。该文提出一种基于安卓系统的智能除草技术。该技术结合了机器视觉和深度学习算法,能够自动识别和定位田间杂草,并通过控制机器人手臂和喷雾器进行精准喷洒除草剂,实现了高效、精准、自动化的除草效果,同时提高了除草效率和可靠性。田间试验结果表明,该系统能够有效除去田间杂草,并且具有较高的准确性和稳定性,为农田的维护和管理提供了一种新的解决方案。
Traditional weeding methods are labor-intensive and time-consuming,and present certain safety hazards.Smart weeding technology,on the other hand,can automatically identify and locate weeds in the lawn for accurate herbicide spraying,which not only improves efficiency but also reduces the risk of personnel exposure to herbicides.The aim of this study is to design a smart weed control technology based on Android system.The technology combines machine vision and deep learning algorithms to automatically identify and locate weeds in the lawn and perform accurate herbicide spraying by controlling the robot arm and sprayer to achieve efficient,accurate and automated weeding,while improving the efficiency and reliability of weeding.The results of the field test showed that the system can effectively remove weeds from lawns with high accuracy and stability,providing a new solution for the maintenance and management of lawns.
作者
王槐俊
刘孜文
王云德
张克盛
张瑞
WANG Huaijun;LIU Ziwen;WANG Yunde;ZHANG Kesheng;ZHANG Rui(Gansu College of Animal Husbandry Engineering,Wuwei 733006,China)
出处
《农机使用与维修》
2023年第10期21-24,共4页
Agricultural Machinery Using & Maintenance
关键词
智能除草技术
安卓系统
机器视觉
深度学习
杂草识别
intelligent weeding technology
android system
machine vision
deep learning
weed recognition
作者简介
王槐俊(1989-),男,甘肃张掖人,本科,工程师,研究方向为焊接自动化、机械设计及制造;通信作者:刘孜文(1983-),男,甘肃陇西人,本科,讲师,研究方向为计算机辅助设计与制造。
