Feasibility of SSC Prediction for Navel Orange Based on Origin Recognition Using NIR Spectroscopy

文献类型： 外文期刊

第一作者： Lyu, Qiang

作者： Lyu, Qiang;Liao, Qiuhong;Liu, Yanli;Lyu, Qiang;Lan, Yubin

作者机构：

关键词： Partial least squares regression;NIR spectroscopy;Linear discriminant analysis;Navel orange;Origin recognition;Soluble solids content

期刊名称：INTELLIGENT AUTOMATION AND SOFT COMPUTING （ 影响因子：1.647； 五年影响因子：1.469 ）

ISSN： 1079-8587

年卷期： 2015 年 21 卷 3 期

页码：

收录情况： SCI

摘要： Soluble solids content (SSC) is one of most important quality indicators of the navel orange. In order to explore the feasibility of SSC prediction for the navel orange from different origins using near infrared (NIR) spectroscopy, we collected seven groups Newhall navel orange (Citrus sinensis (L) Osb.) samples from seven origins (i.e. Beibei, Fengjie, Leibo, Linhai, Wusheng, Xinfeng, and Yizhang) in China, and all the samples were combined as the eighth group. The difference of the growing environments caused the variation of SSC of oranges from different origins. The partial least squares regression (PLS) models were applied to predict the SSC of its origin samples and other origin samples. The results predicted by origin-model were the best compared to cross-origin-prediction results. So it was necessary to recognize origin as the first steps of SSC prediction. Linear discriminant analysis (LDA) model with the top 18 principle components could recognize the origins of samples with 100% accuracy. The overall results demonstrated that it was feasible that SSC prediction for navel orange based on origin recognition using NIR spectroscopy.

分类号：

  • 相关文献

[1]Characteristic Wavelengths Selection of Soluble Solids Content of Pear Based on NIR Spectral and LS-SVM. Fan Shu-xiang,Zhao Chun-jiang,Fan Shu-xiang,Huang Wen-qian,Li Jiang-bo,Zhao Chun-jiang,Zhang Bao-hua. 2014

[2]Comparative transcriptome and proteome profiling of two Citrus sinensis cultivars during fruit development and ripening. Liu, Jian-jun,Chen, Ke-ling,Li, Hong-wen,He, Jian,Guan, Bin,He, Li,Wang, Jian-hui,Liu, Jian-jun,Chen, Ke-ling,Li, Hong-wen,He, Jian,Guan, Bin,He, Li,Wang, Jian-hui,Liu, Jian-jun,Chen, Ke-ling,Li, Hong-wen,He, Jian,Guan, Bin,He, Li. 2017

[3]Effects of sink demand and nutrient status on leaf photosynthesis of spring-cycle shoot in 'Newhall' navel orange under natural field conditions. Zhang, Wen-Wen,Fu, Xing-Zheng,Peng, Liang-Zhi,Ling, Li-Li,Cao, Li,Ma, Xiao-Huan,Xie, Fa,Li, Cai,Zhang, Wen-Wen,Ma, Xiao-Huan,Xie, Fa,Li, Cai,Fu, Xing-Zheng,Peng, Liang-Zhi,Ling, Li-Li,Cao, Li. 2013

[4]A comparative study for least angle regression on NIR spectra analysis to determine internal qualities of navel oranges. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie. 2015

[5]Research on Navel Orange Safety Production Information Management System. Zheng, Huoguo,Liu, Shihong,Zheng, Huoguo,Liu, Shihong,Zheng, Liping,Zhong, Jiayou. 2012

[6]Pepper Seed Variety Identification Based on Spectral Technique. Li, Cui-ling,Wang, Xiu,Meng, Zhi-jun,Feng, Qing-chun,Wang, Guo-hua,Li, Cui-ling,Wang, Xiu,Meng, Zhi-jun,Feng, Qing-chun,Li, Cui-ling,Li, Cui-ling,Wang, Guo-hua. 2016

[7]Pepper seed variety identification based on visible/near infrared spectral technology. Li, Cuiling,Wang, Xiu,Meng, Zhijun,Fan, Pengfei,Cai, Jichen,Li, Cuiling,Wang, Xiu,Meng, Zhijun,Fan, Pengfei,Cai, Jichen. 2016

[8]Geographical tracing of Xihu Longjing tea using high performance liquid chromatography. Wang, Liyuan,Wei, Kang,Cheng, Hao,Gong, Wuyun,He, Wei,Li, Xinghui.

[9]Characterization of volatile profile from ten different varieties of Chinese jujubes by HS-SPME/GC-MS coupled with E-nose. Chen, Qinqin,Song, Jianxin,Bi, Jinfeng,Wu, Xinye,Chen, Qinqin,Song, Jianxin,Bi, Jinfeng,Wu, Xinye,Song, Jianxin,Bi, Jinfeng,Meng, Xianjun. 2018

[10]Authentication of Zhongning wolfberry with geographical indication by mineral profile. Zhang, Senshen,Wei, Yimin,Wei, Shuai,Liu, Hongyan,Guo, Boli.

[11]Research on Development and Experiment of NIR Wheat Quality Quick Detection System. Liu Ling-ling,Zhao Bo,Zhang Yin-qiao,Zhang Xiao-chao. 2013

[12]Study on Rapid Identification of Medicinal Plants of Paris Polyphylla from Different Origin Areas by NIR spectroscopy. Zhao Yan-li,Zhang Ji,Wang Yuan-zhong,Jin Hang,Yuan Tian-jun,Hou Ying,Yang Shi-hua,Li Wei,Shen Tao. 2014

[13]Study on Application of NIR Spectral Information Screening in Identification of Maca Origin. Wang Yuan-zhong,Zhao Yan-li,Zhang Ji,Jin Hang. 2016

[14]Authentication of Pure Camellia Oil by Using Near Infrared Spectroscopy and Pattern Recognition Techniques. Zhang, Juhua,Li, Gaoyang,Su, Donglin,Shan, Yang,Li, Shuifang. 2012

[15]Detection of adulterants such as sweeteners materials in honey using near-infrared spectroscopy and chemometrics. Shan, Yang,Li, Gaoyang,Su, Donglin,Liu, Feng,Li, Shuifang,Zhang, Zhuoyong.

[16]Reason Analysis of Inadaptability and Its Correction Research on the Authenticity Identification Model of West Lake Longjing Tea Based on LVF Micro-NIR Spectrometer. Wang Dong,Pan Li-gang,Wang Ji-hua,Li An,Jin Xin-xin,Ma Zhi-hong,Zhu Ye-wei. 2014

[17]PREDICTION OF THE TOTAL STARCH AND AMYLOSE CONTENT IN BARLEY USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY. Ping, Hua,Wang, Jihua,Ren, Guixing. 2013

[18]Leaf nitrogen spectral reflectance model of winter wheat (Triticum aestivum) based on PROSPECT: simulation and inversion. Yang, Guijun,Zhao, Chunjiang,Sun, Chenhong,Yang, Guijun,Zhao, Chunjiang,Feng, Haikuan,Li, Zhenhai,Li, Heli,Pu, Ruiliang. 2015

[19]Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression. Li Cun-jun,Wang Ji-hua,Wang Qian,Wang Da-cheng,Song Xiao-yu,Wang Yan,Huang Wen-jiang,Li Cun-jun,Wang Ji-hua,Huang Wen-jiang. 2012

[20]Rapid and non-destructive identification of water-injected beef samples using multispectral imaging analysis. Liu, Jinxia,Pan, Wenjuan,Ma, Fei,Liu, Changhong,Chen, Wei,Zheng, Lei,Cao, Yue,Zheng, Lei,Wang, Qiu,Yang, Jianbo. 2016

作者其他论文 更多>>

微信小程序