脱绒棉种活力检测系统的设计与实现  

Software Design of the Testing System for the Dynamic Test of the Cotton Seed

作　　者：彭顺正 尤佳[2] 李景彬[1,2] 

机构地区：[1]石河子大学信息科学与技术学院,新疆石河子832000 [2]石河子大学机械电气工程学院,新疆石河子832000

出　　处：《农机化研究》2017年第8期66-71,共6页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(31260290);新疆生产建设兵团博士资金项目(2014BB003)

摘　　要：为了实现脱绒棉种活力的快速无损检测,利用VS2010和Open CV混合编程方式开发一套脱绒棉种活力在线检测系统分析软件,应用BP神经网络原理构建活力预测模型。软件系统主要包括图像采集模块、参数记录模块、图像处理分析及活力检测模块,主要实现了图像采集、图像特征提取与分析、脱绒棉种活力预测及参数记录等功能。选取新陆早50、鼎丰10号、神农11号3个品种进行活力预测试验,准确率分别达到90.29%、84.27%、8 6.8 0%。软件系统的开发为脱绒棉种活力实现快速无损检测分级奠定了基础。In order to realize the rapid nondestructive detecting cotton seed escaping the fabric dynamic, the on-line de-tection software is developed based on VS2010 and OpenCV, the dynamic detection module base on BP neural network. System includes image acquisition module, conductivity parameter recording module, image processing analysis and dy- namic detection module, and realizes the functions of image recording the cotton seed dynamic. Select Xinluzao No. 50, acquisition, feature extraction and analysis, ibrecasting and Dingfeng No. 10, Shennong No. 11 three varieties to do dy- namic prediction test, and accurate rate respectively reached 90.29% , 84.27% , 86.80%. Development of the system laid a solid foundation and helps cotton seed come true the rapid nondestructive detecting classification.

关 键 词：脱绒棉种 活力预测 品质分级 BP神经网络 

分 类 号：S24[农业科学—农业电气化与自动化] TP391.41[农业科学—农业工程]