Key technologies and research progress of intelligent weeding robots

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.

Authors

Institutions

Publication Details

Journal
Weed Science
Published
2024-12-20
DOI
https://doi.org/10.1017/wsc.2024.95
Citations
3
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key technologies and research progress of intelligent weeding robots

Guanshan Zhang, Tianhua Li, Guoying Shi, Huarui Wu et al.
3 citations
Weed Science
Smart Agriculture and AI
1.80
article

Key technologies and research progress of intelligent weeding robots

Guanshan Zhang, Tianhua Li, Guoying Shi, Huarui Wu, Yang Li, Xueyan Hou, Xu Hong
article en
3 citations

Abstract

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.

Weed ScienceVol. 73
Shandong Academy of Agricultural Machinery Sciences (CN), Beijing Academy of Agricultural and Forestry Sciences (CN), National Engineering Research Center for Information Technology in Agriculture (CN), Shandong Agricultural University (CN)
Indian Council of Agricultural Research, Consejo Superior de Investigaciones Científicas
Openalex Percentile: Top 12%
Smart Agriculture and AI
1.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Key technologies and research progress of intelligent weeding robots — Guanshan Zhang, Tianhua Li, et al. · Weed Science (2024) | TGRS Research Map | TGRS