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Accepted manuscript

Key technologies and research progress of intelligent weeding robots

Published online by Cambridge University Press:  20 December 2024

Hong Xu Open the ORCID record for Hong Xu [Opens in a new window] ,
Tianhua Li Open the ORCID record for Tianhua Li [Opens in a new window] ,
Xianwei Hou ,
Huarui Wu ,
Guoying Shi ,
Yang Li  and
Guanshan Zhang
Hong Xu
Affiliation:
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian 271018, China
Tianhua Li*
Affiliation:
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian 271018, China
Xianwei Hou
Affiliation:
Shandong Provincial Agricultural Machinery Technology Extension Station, Jinan 250013, China
Huarui Wu
Affiliation:
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097,China
Guoying Shi
Affiliation:
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian 271018, China
Yang Li
Affiliation:
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian 271018, China
Guanshan Zhang
Affiliation:
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian 271018, China
*
*Author for correspondence: Tianhua Li; Email: [email protected]
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Abstract

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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. The development status of weeding robots is overviewed based on bibliometric and scientific mapping methods. Secondly, the two key technologies of weeding robots are summarized. Then, the research progress of precision spraying weeding robots, mechanical weeding robots, and thermal weeding robots with laser devices, categorized by their weeding methods, 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.

Keywords

field navigationmachine visionweedsweeding robots
Type
Review
Information
Weed Science , Accepted manuscript , pp. 1 - 55
Copyright
© Weed Science Society of America 2024