Key Technologies and Research Progress of Intelligent Weeding Robots

Hong Xu; Tianhua Li; Xianwei Hou; Huarui Wu; Guoying Shi; Yang Li; Guanshan Zhang

doi:10.1017/wsc.2024.95

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Hong Xuhttps://orcid.org/0009-0000-8905-3480,¹ Tianhua Lihttps://orcid.org/0009-0005-0256-6555,^2,* Xianwei Hou,³ Huarui Wu,⁴ Guoying Shi,⁵ Yang Li,⁵ Guanshan Zhang⁶

¹Doctoral Student, College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China
²Professor, College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China
³Scientific Researcher, Shandong Provincial Agricultural Machinery Technology Extension Station, Jinan, China
⁴Professor, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
⁵Associate Professor, Doctoral Student, College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China
⁶Associate Professor, College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China

^*Corresponding author: Tianhua Li; Email: 1th5460@sdau.edu.cn

Abstract

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.

Citation Download Citation

Hong Xu, Tianhua Li, Xianwei Hou, Huarui Wu, Guoying Shi, Yang Li, and Guanshan Zhang "Key Technologies and Research Progress of Intelligent Weeding Robots," Weed Science 73(1), 1-20, (28 March 2025). https://doi.org/10.1017/wsc.2024.95

Received: 7 August 2024; Accepted: 17 November 2024; Published: 28 March 2025

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