摘要
目前,全球农业面临粮食生产效率提高和可持续性管理的挑战,自动导航技术成为提高生产力和资源利用效率的关键技术之一。基于机器视觉技术的基本原理,系统探讨了机器视觉技术在农业机械自动导航应用平台的构建,并提出一种基于颜色和纹理特征组合的田间障碍物识别方法,根据识别结果系统实现自动实时测距与信息反馈,从而实现农业机械的智能导航。
At present,global agriculture is facing the challenges of food production efficiency improvement and sustainability management,and automatic navigation technology has become one of the key technologies to improve productivity and resource utilization efficiency.Based on the basic principles of machine vision technology,this research system explores the construction of machine vision technology in the automatic navigation application platform of agricultural machinery,and proposes a field obstacle recognition method based on the combination of color and texture features,according to the recognition results the system realizes automatic real-time ranging and information feedback,so as to realize the intelligent navigation of agricultural machinery.
作者
崔永祯
CUI Yongzhen(Henan Economic and Trade Technician College,Xinxiang 453000,China)
出处
《农机使用与维修》
2024年第3期42-44,共3页
Agricultural Machinery Using & Maintenance
关键词
机器视觉
农业机械
特征提取
树莓派
machine vision
agricultural machinery
feature extraction
Raspberry Pi
