农机使用与维修Issue(7)：26-29,4.DOI:10.14031/j.cnki.njwx.2025.07.005
基于智能传感器下锄草机器人实时杂草识别与路径优化
Real-time Weed Identification and Path Optimisation for Weeding Robots Based on Intelligent Sensors
摘要
Abstract
Aiming at the problem of difficult weed management in traditional agriculture,this article analyses the limita-tions of the existing weed-removal robots in weed recognition and path planning,and puts forward a real-time weed recognition method combining image recognition technology and intelligent sensors,which achieves high-precision rec-ognition of weeds by integrating visual sensors and environmental sensors,and overcomes the drawbacks of the existing technology of insufficient recognition accuracy in complex environments.At the same time,the path planning process is optimised by combining intelligent algorithms to ensure that the robot can efficiently and accurately avoid crops and cover the entire weed area during the weed removal process,aiming to provide theoretical references for the hoeing robots in practical agricultural applications,and to further promote the development of intelligent agricultural equipment.关键词
锄草机器人/智能传感器/实时杂草识别/路径优化/图像识别Key words
hoeing robot/intelligent sensors/real-time weed recognition/path optimisation/image recognition分类
农业科技引用本文复制引用
林星烨..基于智能传感器下锄草机器人实时杂草识别与路径优化[J].农机使用与维修,2025,(7):26-29,4.基金项目
2024年度广西农业科技自筹经费项目(Z2024105) （Z2024105）
