基于近红外和远红外光谱信息融合的核桃品种鉴别方法  

Identification of Walnut Cultivars Based on Near-infrared and Far-infrared Spectral Information Fusion

作　　者：焦俊 圣阳 马鑫 李绍辰 滕燕 李春[1] 蒋玲[1] JIAO Jun;SHENG Yang;MA Xin;LI Shaochen;TENG Yan;LI Chun;JIANG Ling(College of Information Science and Technology,Nanjing Forestry University,Nanjing Jiangsu 210037,China)

机构地区：[1]南京林业大学信息科学技术学院,江苏南京210037

出　　处：《农业工程》2021年第12期35-41,共7页AGRICULTURAL ENGINEERING

基　　金：国家自然科学基金项目(62001235);江苏省自然科学基金项目(BK20161526)。

摘　　要：采用红外光谱技术对核桃开展无损检测研究,实现清香、温185、香玲、新新2号、纸皮、漾濞和岱丰共7种核桃品种的鉴别,为核桃品种识别提供新思路。提出了一种基于近红外和远红外光谱信息融合的方法,首次将远红外光谱技术应用在核桃品种鉴别中,并与近红外光谱数据融合,结合主成分分析法(PCA)和无信息变量消除-连续投影法(UVE-SPA)进行特征波长选取,建立了随机森林、K近邻、支持向量机分类模型。结果除随机森林模型外,其余模型识别准确率能够达到100%,既降低了模型复杂度,也大大提升了识别准确率和模型稳健性。试验结果表明,通过将近红外光谱和远红外光谱的有效信息进行数据融合,可以改善单一光谱技术在识别率上的不足,即两个波段的数据融合更能反映品种之间的差异,为实现核桃品种的高效、无损、精确识别提供了新思路,也为其他物质的鉴别提供了借鉴和参考。Infrared spectroscopy was used to carry out non-destructive testing of walnut to realize identification of seven walnut cultivars,such as Qingxiang,Wen185,Xiangling,Xinxin No.2,Zhipi,Yangbi and Daifeng,to provide new ideas for walnut cultivars identification in the future.A method was proposed based on near-infrared and far-infrared spectral information fusion.Far-infrared spectroscopic technology was applied to walnut identification for the first time and fused near-infrared spectroscopy data.Combined with principal component analysis(PCA)and uninformative variables elimination and successive projections algorithm(UVE-SPA),characteristic wavelength was selected.Then random forest,K-nearest neighbor and support vector machine classification model was established.In addition to random forest model,recognition accuracy of other models could reach 100%,which not only reduced complexity of model but also greatly improved accuracy and robustness of identification.Test results showed that,data fusion based on effective information of near-infrared spectrum and far-infrared spectrum could improve deficiency of single spectrum technology in recognition rate,that was,data fusion of two bands could better reflect differences between varieties.It provided a new idea for efficient,non-destructive and accurate identification of walnut cultivars,and also a reference for identification of other substances.

关 键 词：核桃品种 信息融合 近红外 远红外 光谱 

分 类 号：S126[农业科学—农业基础科学]