Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 509713
Title Detection of Honey Adulteration using Hyperspectral Imaging
Author(s) Shafiee, Sahameh; Polder, Gerrit; Minaei, Saeid; Moghadam-charkari, Nasrolah; Ruth, Saskia Van; Kuś, Piotr M.
Source IFAC-PapersOnLine 49 (2016)16. - ISSN 2405-8963 - p. 311 - 314.
DOI http://dx.doi.org/10.1016/j.ifacol.2016.10.057
Department(s) WUR GTB Algemeen
WUR GTB Tuinbouw Technologie
Food Quality and Design
VLAG
RIKILT - BU Authenticity & Nutrients
Publication type Refereed Article in a scientific journal
Publication year 2016
Abstract This study investigates the application of hyperspectral imaging system and data mining based classifiers for honey adulteration detection. Hyperspectral images from pure and adulterated samples were captured in using a VIS-NIR hyperspectral camera (400 – 1000 nm). After preprocessing the images, five different data mining based techniques, including artificial neural network (ANN), support vector machine (SVM), Linear discriminant analysis (LDA), Fisher and Parzen classifiers were applied for supervised image classification. Classifier test results show the highest classification accuracy of 95% for ANN classifier. Other classifiers including SVM with radial basis kernel function (92%), LDA (90%), Fisher (89 %), and Parzen with 84% correct classification rate also showed acceptable results. This research shows the capability of hyperspectral imaging for honey authentication.
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