文献类型： 外文期刊
作者： Xu, Hong 1 ; Li, Tianhua 1 ; Hou, Xianwei 2 ; Wu, Huarui 3 ; Shi, Guoying 1 ; Li, Yang 1 ; Zhang, Guanshan 1 ;
作者机构： 1.Shandong Agr Univ, Coll Mech & Elect Engn, Tai An, Peoples R China
2.Shandong Prov Agr Machinery Technol Extens Stn, Jinan, Peoples R China
3.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing, Peoples R China
关键词： Field navigation; machine vision; weeds
期刊名称：WEED SCIENCE （ 影响因子：2.5； 五年影响因子：2.6 ）
ISSN： 0043-1745
年卷期： 2024 年 73 卷
页码：
收录情况： SCI
摘要： The rapid and efficient removal of weeds is currently a research hotspot. With the integration of robotics and automation technology into agricultural production, intelligent field-weeding robots have emerged. An overview of the development status of weeding robots based on bibliometric and scientific mapping methods is presented. Two key technologies of weeding robots are summarized, and the research progress of precision-spraying weeding robots, mechanical weeding robots, and thermal weeding robots with laser devices, categorized by weeding method, is reviewed. Finally, a summary and an outlook on the future development trends of intelligent field-weeding robots are provided, aiming to offer a reference for further promoting the development of weeding robots.
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