首页|温室ROS喷雾机器人系统设计

温室ROS喷雾机器人系统设计

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目前,我国温室内的传统植保作业主要以人工为主,劳动强度大、效率低,且会对环境造成污染.为解决以上问题,设计了一种基于ROS的温室喷雾机器人.该机器人采用深度相机进行自主规划路径;通过双目相机与YOLO v5机器视觉算法相结合,对番茄进行识别;最后利用喷雾系统对番茄实现喷雾的 目标.实验结果表明:该机器人具有较好的定位效果和较高的识别准确率,并能够对番茄进行精准喷洒.该方案设计的机器人前景广阔,可靠性高,具有较好的应用价值.
Design of Greenhouse Spray Robot System Based on ROS
Currently,traditional greenhouse pest control operations in China are mainly manual,which are labor-intensive and low in efficiency,and may also cause environmental pollution.To ad-dress these issues,a greenhouse spray robot based on ROS was designed.This robot uses a depth cam-era for autonomous path planning,combined with a binocular camera and YOLOv5 machine vision algo-rithm,it can recognize tomatoes.Finally,it uses the spraying system to achieve the goal of spraying to-matoes.Experimental results have shown that this robot has good positioning performance,high recog-nition accuracy,and can accurately spray tomatoes.This solution has broad prospects,high reliability,and good application value.

ROSspraymachine visionagricultural robots

赵文锋、戚颖雯、张霞、郭柏帆

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华南农业大学电子工程学院,广东广州 510642

华南农业大学工程学院,广东广州 510642

ROS 喷雾 机器视觉 农业机器人

广东省农业科技创新十大主攻方向"揭榜挂帅"项目广东省科技创新战略专项资金项目

2022SDZG03pdjh2022b0078

2024

佳木斯大学学报(自然科学版)
佳木斯大学

佳木斯大学学报(自然科学版)

影响因子:0.159
ISSN:1008-1402
年,卷(期):2024.42(3)
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