基于机器视觉和光谱技术水果分级的研究进展  

Research Progress of Fruit Grading Technology Based on Machine Vision and Spectrum Technology

作　　者：孙海霞[1] 张淑娟[1] 薛建新[1] 周靖博[1] 

机构地区：[1]山西农业大学,山西太谷030801

出　　处：《农机化研究》2014年第1期234-237,共4页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(31271973);山西省基础研究计划项目(自然科学基金)(2012011030-3);高等学校博士学科点专项科研基金项目(20101403110003)

摘　　要：机器视觉和光谱技术广泛应用于农业机械化领域,对推动农业智能化发展起着至关重要的作用。针对机器视觉在水果分级方面的应用现状,从研究对象的选取、检测分级特性指标以及检测方法的选择、机械装置及生产线开发3方面综述了研究的进展和存在的问题,并预测了相关的发展趋势,为机器视觉技术在农业中的应用提供了参考。Machine the development of vision and spectrum technology is widely applied in the field of agricuhural mechanization, to promote intelligent agriculture plays an important role According to the present situation of the application on the machine vision in fruit grading, reviews the research progress and existing problems from the selection of research ob- ject,selection of characteristics and detection method on detection and classification,study on mechanical device and de-velopment of the production line three reviewed, predicts development trend, provide reference for the machine vision technology and its application in agriculture.

关 键 词：机器视觉 高光谱成像技术 分级 

分 类 号：S238[农业科学—农业机械化工程] TN219[农业科学—农业工程]