基于机器视觉的青贮饲料质量监测系统设计与应用  

Design and Application of Silage Quality Monitoring System Based on Machine Vision

作　　者：邓红涛[1] 陈红莉 李伟[1] 

机构地区：[1]石河子大学,新疆石河子832000 [2]新疆西部牧业股份有限公司,新疆石河子832000

出　　处：《安徽农业科学》2016年第9期288-290,共3页Journal of Anhui Agricultural Sciences

基　　金：新疆生产建设兵团科技攻关课题(2015AB003)

摘　　要：设计了一套基于机器视觉的青贮饲料质量监测系统。系统在研究辨别青贮饲料质量关键因素的基础上,利用颜色明暗差别和纹理结构特征训练分类样本,采用聚类算法对传送带上饲料进行分类检测,实现了对青贮饲料质量的自动精准监测。该系统在剔除变质饲料的同时建立数据库统计优劣比率和饲料加工信息,为构建饲料质量可追溯体系奠定基础。A set of silage quality monitoring system was designed based on machine vision. On the basis of studying key factors in silage quality identification,color difference and texture feature was utilized for samples classification,the clustering algorithm was used to classify and detect silage on the conveyor belt,so as to realize the automatic precision monitoring of silage quality. In the process of eliminating bad silage,database was established for statistics of pros and cons ratio and processing information,which lays a foundation for constructing quality traceability system.

关 键 词：机器视觉 特征识别 质量监控 饲料 

分 类 号：S126[农业科学—农业基础科学]