%0 Journal Article
%T NEW APPROACH OF DISCRIMINATION OF VARIETIES OF JUICY PEACH BY NEAR INFRARED SPECTRA BASED ON PCA AND MDA MODEL<br>基于主成分和多类判别分析的可见-红外光谱水蜜桃品种鉴别新方法
%A LI Xiao-Li
%A HU Xing-Yue
%A HE Yong
%A <br>李晓丽
%A 胡兴越
%A 何勇
%J 红外与毫米波学报
%D 2006
%I Science Press
%X A new method for discrimination of varieties of juicy peach by means of visible-near infrared spectroscopy(NIRS) was developed.First,the spectral curves of three varieties juicy peaches were measured by spectrometer;the pretreated spectra data of juicy peach were analyzed through principal component analysis(PCA).Then the diagnostic information from PCA was used as inputs of multiple discriminant analysis(MDA) for pattern recognition.The 2-dimontional plot was drawn with first and second principal components,which indicated that it was a good clustering analysis for classification varieties of juicy peach.The result of the analysis suggested that the reliabilities of first 8 principal components were more than 94.38%.60 samples from three varieties selected randomly.Then they were used to build discriminating model.15 unknown samples were validated by this model.The recognition rate is 100%.This model is reliable and practicable.So this study can offer a new approach to the fast discrimination of varieties of juicy peach.
%K visible-near infrared spectra
%K juicy peach
%K principal component analysis(PCA)
%K multiple discriminant analysis(MDA)
%K discrimination<br>可见-近红外光谱
%K 水蜜桃
%K 主成分分析
%K 多类判别分析
%K 鉴别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=BC288E34F1E1EBFE&yid=37904DC365DD7266&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=84A93BA251D28205&eid=5335AD3CFE6E14EA&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=3&reference_num=8