Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
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- 作者：Marina Alej ; ra Dom铆nguez ; Paulo Henrique Gon莽alves Dias Diniz ; Mar铆a Susana Di Nezio ; M谩rio C茅sar Ugulino de Ara煤jo ; Mar铆a Eugenia Centuri贸n
- 关键词：Honey ; Classification ; Geographical origin ; Flow-batch ; Digital image
- 刊名：Microchemical Journal
- 出版年：January, 2014
- 年：2014
- 卷：112
- 期：Complete
- 页码：104-108
- 全文大小：895 K
文摘
In this paper a geographic origin classification of honey samples from Argentina was proposed. For this reason, a conventional flow-batch system with a simple webcam to capture digital images was employed. In this methodology, analytical information is generated from color histograms obtained from the digital images employing different color models (RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale). Three chemometric tools were employed for geographic origin classification (SPA-LDA (successive projections algorithm-linear discriminant analysis), SIMCA (soft independent modeling for class analogy), and PLS-DA (partial least squares-discriminant analysis)). The proposed method is a good option to be used in quality control laboratories for the classification of honey samples according to their geographical origin.