Color compensation and comparison of shortwave near infrared and long wave near infrared spectroscopy for determination of soluble solids content of 'Fuji' apple
文献类型： 外文期刊
作者： Guo, Zhiming 1 ; Huang, Wenqian 2 ; Peng, Yankun 3 ; Chen, Quansheng 1 ; Ouyang, Qin 1 ; Zhao, Jiewen 1 ;
作者机构： 1.Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Peoples R China
2.Natl Engn Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
3.China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
关键词： Apple; Near infrared spectroscopy; Color compensation; Soluble solids content; Independent Component analysis; Support vector machine
期刊名称：POSTHARVEST BIOLOGY AND TECHNOLOGY （ 影响因子：5.537； 五年影响因子：5.821 ）
ISSN： 0925-5214
年卷期： 2016 年 115 卷
页码：
收录情况： SCI
摘要： Shortwave near infrared (SWNIR) and long wave near infrared (LWNIR) spectroscopy with a novel color compensation method were compared to predict soluble solids content of apple. Linear and nonlinear regression models were considered. Eventually, independent component analysis-support vector machine (ICA-SVM) models proved to be superior to other nonlinear models. R-p was 0.9398 and RMSEP was 0.3870% for the optimal model of SWNIR, while R-p was 0.9455 and RMSEP was 03691% for that of LWNIR. Moreover, the results showed that color compensation could significantly improve the prediction performance of SWNIR model. Our work implies that SWNIR with color compensation has an obvious prospect in practical industrial use for real-time monitoring apple quality. (C) 2015 Elsevier B.V. All rights reserved.
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