基于深度学习的智能除草视觉导航方法研究及实现  

Research and Realization of Intelligent Weeding Visual Navigation Method Based on Deep Learning

作　　者：王云德[1] 刘孜文[1] 张克盛 WANG Yunde;LIU Ziwen;ZHANG Kesheng(Gansu College of Animal Science and Technology,Wuwei 733006,China)

机构地区：[1]甘肃畜牧工程职业技术学院,甘肃武威733006

出　　处：《农机使用与维修》2024年第5期36-38,共3页Agricultural Machinery Using & Maintenance

摘　　要：该文基于深度学习提出了一种智能除草视觉导航方法,通过搭建硬件系统,用于采集农田信息和导航控制。该模型通过对实时图像数据进行处理和分析,能够准确地识别出杂草并实现导航控制,从而实现智能除草的目标。试验结果表明,该文提出的方法在不同场景下都具有较高的识别准确率和导航精度,具有良好的实用性和推广价值。In this paper,a smart weeding visual navigation method is proposed based on deep learning method,by building a hardware system for collecting farmland information and navigation control.The model is able to accurately identify weeds and achieve navigation control by processing and analyzing real-time image data,thus realizing the goal of intelligent weeding.The experimental results show that the method proposed in this paper has high recognition accuracy and navigation precision in different scenarios,and has good practicality and popularization value.

关 键 词：智能除草技术 农业智能化 深度学习 视觉导航 杂草识别 农田信息采集 

分 类 号：S224.15[农业科学—农业机械化工程]