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首页> 外文会议>International Conference on Electronic Engineering and Informatics >Rapid Distinguish of Edible Oil Adulteration Using a Hyperspectral Spectroradiometer
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Rapid Distinguish of Edible Oil Adulteration Using a Hyperspectral Spectroradiometer

机译：利用高光谱分光镜快速区分食用油掺杂物

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摘要

The adulteration of edible oil is one of the widely existing oil quality problems. In this study, a hyperspectral spectroradiometer was utilised to discriminate sesame and rapeseed oil adulteration rapidly using soybean oil. The reflectance spectra of 350-2500 nm were obtained from different adulterated oil samples using the hyperspectral spectroradiometer. Support Vector Machine (SVM) and random forest (RF) were used for spectral analysis to classify adulteration types. And RF achieved an accuracy of 100%. Considering the redundant information of reflectance spectra, the optimal wavelengths were selected by Principal Component Analysis to increase processing speed and simplify the model for subsequent applications. With the spectra of eight selected wavelengths, the accuracy of SVM achieved 92.86%. These results indicated that a hyperspectral spectroradiometer can distinguish edible oil adulteration.
机译：食用油的掺假是一种广泛现有的油质问题之一。在该研究中，利用高光谱分光剂仪利用豆油迅速区分芝麻和油菜籽油掺杂。使用高光谱光谱辐射计从不同掺杂的油样品获得350-2500nm的反射光谱。支持向量机（SVM）和随机森林（RF）用于分类掺假类型的光谱分析。并且RF达到100％的准确性。考虑到反射光谱的冗余信息，通过主成分分析选择最佳波长，以提高处理速度并简化后续应用的模型。利用八个选定波长的光谱，SVM的精度达到92.86％。这些结果表明，高光谱分光剂计可以区分可食用的油掺杂。

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