山东农业科学2026，Vol.58Issue(3)：171-179,9.DOI:10.14083/j.issn.1001-4942.2026.03.020
智能农业技术在杂草管理中的应用研究进展
Research Progress of Smart Agricultural Technologies Application in Weed Management
摘要
Abstract
In recent years,global agriculture has faced multiple challenges,including increasing food demand,decreasing labor force,and environmental degradation.Among them,weed infestation,as one of the key factors constraining crop yield and farmland management efficiency,urgently calls for more efficient and sustainable management approaches.Traditional weed management methods heavily rely on manual labor and chemical herbicides,which are inefficient and have negative environmental impacts.Smart agriculture,by in-tegrating modern technologies such as the Internet of Things(IoT),deep learning,drones and robots,offers an efficient and environmentally friendly solution for weed detection and identification.This paper reviewed the advancements in weed management through smart agriculture technologies,specifically focusing on the appli-cation of deep learning in weed detection,drone-based field monitoring,and autonomous operations of intelli-gent weeding robots.Despite their significant performance in improving operational efficiency and reducing her-bicide use,these technologies still face challenges in large-scale deployment,such as environmental complexi-ty,high costs,and insufficient model generalizability.Future research should focus on enhancing model gener-alization,reducing equipment costs,and improving the efficiency of multimodal data integration to promote the widespread adoption and sustainable development of smart agricultural technologies.关键词
智能农业技术/杂草检测/深度学习/无人机/智能除草机器人Key words
Smart agricultural technology/Weed detection/Deep learning/Drone/Intelligent weeding robot分类
农业科技引用本文复制引用
刘凯越,吴建军,祝玉华,李智慧,甄彤..智能农业技术在杂草管理中的应用研究进展[J].山东农业科学,2026,58(3):171-179,9.基金项目
国家重点研发计划项目(2022YFD2100202) （2022YFD2100202）
