Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis
Geographical origin discrimination of white rice is an important endeavor in preventing illegal distribution of white rice and regulating and standardizing food safety and quality assurance. The aim of this study was to develop a method for geographical origin discrimination between South Korean and...
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doaj-a1bf806376b240d289066a63d0183ff52020-11-25T03:40:37ZengMDPI AGApplied Sciences2076-34172020-08-01105794579410.3390/app10175794Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging AnalysisMin-Jee Kim0Jongguk Lim1Sung Won Kwon2Giyoung Kim3Moon S. Kim4Byoung-Kwan Cho5Insuck Baek6Seung Hyun Lee7Youngwook Seo8Changyeun Mo9Department of Biosystems Engineering, Kangwon National University, Chuncheon 24314, KoreaNational Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, KoreaResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 08826, KoreaNational Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, KoreaUSDA-ARS Environmental Microbial and Food Safety Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, MD 20705, USADepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, KoreaUSDA-ARS Environmental Microbial and Food Safety Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, MD 20705, USADepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, KoreaNational Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, KoreaDepartment of Biosystems Engineering, Kangwon National University, Chuncheon 24314, KoreaGeographical origin discrimination of white rice is an important endeavor in preventing illegal distribution of white rice and regulating and standardizing food safety and quality assurance. The aim of this study was to develop a method for geographical origin discrimination between South Korean and Chinese rice using a hyperspectral fluorescence imaging technique and multivariate analysis. Hyperspectral fluorescence images of South Korean and Chinese rice samples were obtained in the wavelength range of 420 nm to 780 nm with intervals of 4.8 nm using 365 nm wavelength ultraviolet-A excitation light. Partial least squares discriminant analysis models were developed and applied to the acquired image to determine the geographical origins of the rice samples. In addition, various pre-processing techniques were applied to improve the discrimination accuracy. Accordingly, the pixel size of the hyperspectral image was determined. The results revealed that the optimum pixel size of the hyperspectral image that was above 7 mm × 7 mm showed a high discrimination accuracy. Moreover, the geographical origin discrimination model that applied the first-order derivative achieved a high discrimination accuracy of 98.89%. The results of this study showed that hyperspectral fluorescence imaging technology can be used to quickly and accurately discriminate the geographical origins of white rice.https://www.mdpi.com/2076-3417/10/17/5794hyperspectral imaginggeographical originwhite ricepartial least squares analysisfluorescence imagingpixel dimension |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Min-Jee Kim Jongguk Lim Sung Won Kwon Giyoung Kim Moon S. Kim Byoung-Kwan Cho Insuck Baek Seung Hyun Lee Youngwook Seo Changyeun Mo |
spellingShingle |
Min-Jee Kim Jongguk Lim Sung Won Kwon Giyoung Kim Moon S. Kim Byoung-Kwan Cho Insuck Baek Seung Hyun Lee Youngwook Seo Changyeun Mo Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis Applied Sciences hyperspectral imaging geographical origin white rice partial least squares analysis fluorescence imaging pixel dimension |
author_facet |
Min-Jee Kim Jongguk Lim Sung Won Kwon Giyoung Kim Moon S. Kim Byoung-Kwan Cho Insuck Baek Seung Hyun Lee Youngwook Seo Changyeun Mo |
author_sort |
Min-Jee Kim |
title |
Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis |
title_short |
Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis |
title_full |
Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis |
title_fullStr |
Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis |
title_full_unstemmed |
Geographical Origin Discrimination of White Rice Based on Image Pixel Size Using Hyperspectral Fluorescence Imaging Analysis |
title_sort |
geographical origin discrimination of white rice based on image pixel size using hyperspectral fluorescence imaging analysis |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-08-01 |
description |
Geographical origin discrimination of white rice is an important endeavor in preventing illegal distribution of white rice and regulating and standardizing food safety and quality assurance. The aim of this study was to develop a method for geographical origin discrimination between South Korean and Chinese rice using a hyperspectral fluorescence imaging technique and multivariate analysis. Hyperspectral fluorescence images of South Korean and Chinese rice samples were obtained in the wavelength range of 420 nm to 780 nm with intervals of 4.8 nm using 365 nm wavelength ultraviolet-A excitation light. Partial least squares discriminant analysis models were developed and applied to the acquired image to determine the geographical origins of the rice samples. In addition, various pre-processing techniques were applied to improve the discrimination accuracy. Accordingly, the pixel size of the hyperspectral image was determined. The results revealed that the optimum pixel size of the hyperspectral image that was above 7 mm × 7 mm showed a high discrimination accuracy. Moreover, the geographical origin discrimination model that applied the first-order derivative achieved a high discrimination accuracy of 98.89%. The results of this study showed that hyperspectral fluorescence imaging technology can be used to quickly and accurately discriminate the geographical origins of white rice. |
topic |
hyperspectral imaging geographical origin white rice partial least squares analysis fluorescence imaging pixel dimension |
url |
https://www.mdpi.com/2076-3417/10/17/5794 |
work_keys_str_mv |
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