食品与机械2013，Vol.29Issue(2)：64-67,4.DOI:10.3969/j.issn.1003-5788.2013.02.014
菜籽品种可见近红外光谱鉴别研究
Discrimination varieties of vegetables' seeds by visible near infrared spectroscopy
摘要
Abstract
The seed varieties of vegetable are one of the major factors that decide the quality of the vegetables. A discrimination method of vegetables' seeds by visible and near-infrared speetroscopy (Visible-NIR) was proposed for rapid discriminating the varieties of vegetables' seeds. The spectra of six vegetables' seeds were collected by reflection mode in the range of 400 ～1 000 nm. Seventeen variables were chosen by curve peak and valley trends of principal components loadings. And linear discrimination analysis (LDA) models were developed with the input vectors of seventeen variables. The discriminating results of LDA models were superior to the principal component analysis (PCA) with the error recognition rate of 2.42%. The results suggest it is feasible for rapid discrimination varieties of vegetables' seeds by visible-NIR technology and LDA method.关键词
可见近红外光谱/载荷向量/线性判别分析/菜籽Key words
visible near -infrared speetroscopy/ loading vector/ linear discriminant analysis/ vegetable seed引用本文复制引用
董小玲..菜籽品种可见近红外光谱鉴别研究[J].食品与机械,2013,29(2):64-67,4.基金项目
国家自然科学基金(编号:61240018) （编号:61240018）
江西省科技支撑计划(编号:20121BBF60054) （编号:20121BBF60054）
华东交通大学校立科研基金(编号:11WY03) （编号:11WY03）
