基于生物光子学的小麦籽粒品质检测分析与建模  

Quality testing and modeling of wheat grain based on biophotonics

作　　者：梁义涛[1] 史卫亚[1] 

机构地区：[1]河南工业大学信息科学与工程学院∥粮食信息处理与控制教育部重点实验室,河南郑州450001

出　　处：《粮食与饲料工业》2013年第3期4-6,共3页Cereal & Feed Industry

基　　金：国家863计划(No:2012AA101608);国家自然科学基金资助项目(No:31171775);河南省科技厅重点科技攻关项目(No.112102210190)

摘　　要：为了科学有效地开展保粮减损工作,基于生物光子分析技术,对经过水浸泡和去胚后的小麦籽粒的自发光子进行测量,进而使用模式识别中的K-means和支持向量机(SVM)算法,进行小麦籽粒品质检测分析。该方法是一种新的精准、无损检测手段,可用于小麦品质的早期辅助决策,指导粮库科学有效地开展保粮减损工作。In order to scientifically and effectively carry out the work of reducing loss in grain storage, we proposed a method based on biophoton analytical technology （BPAT）. Firstly the spontaneous luminescence of wheat grains after water immersion and degerminating was measured,and the algorithm of K-means and support vector machine （SVM） were used to test the quality of wheat kernels. The method was a new accurate and lossless measuring means and can be used in early decision for the quality of wheat grain,and in scientific guidance to grain storage.

关 键 词：小麦籽粒 生物光子学 品质检测 模式识别 

分 类 号：S512.1[农业科学—作物学] Q632[生物学—生物物理学]