农机化研究Issue(5)：212-215,4.
基于梨枣轻微损伤的可见／近红外光谱判别研究
Discrimination of Pear Jujubes Based on Visible/near-infrared Spectroscopy
摘要
Abstract
Classification discrimination models of subtle bruise “Lizao” jujubes were studied by using visible/near-infra-red spectroscopy .The least squares-support vector machine ( LS-SVM) and partial least squares-line discriminant anal-ysis( PLS-LDA) were applied to develop classification models , which based on different spectra pretreatments and differ-ent modeling wavelength bands .The results indicated that the best discrimination model was PLS -LDA model using Savitzky-Golay of 9 in the range of 780~1100nm, for the calibration and prediction set of PLS-LDA model, the dis-crimination rate was 97.8% and 96.7%, respectively.关键词
可见/近红外/梨枣/轻微损伤/光谱Key words
near-infrared spectroscopy ( VIS/NIR)/“Lizao” jujube/subtle bruise/spectroscopy分类
农业科技引用本文复制引用
薛建新,张淑娟,赵聪慧..基于梨枣轻微损伤的可见／近红外光谱判别研究[J].农机化研究,2015,(5):212-215,4.基金项目
高等学校博士学科点专项科研基金项目（20101403110003）；山西省自然科学基金项目（2012011030－3）；国家自然科学基金项目（31271973）；山西省研究生优秀创新项目 （）
