Hyperspectral Shortwave Infrared Image Analysis for Detection of Adulterants in Almond Powder with One-Class Classification Method

Hyperspectral Shortwave Infrared Image Analysis for Detection of Adulterants in Almond Powder with One-Class Classification Method

The widely used techniques for analyzing the quality of powdered food products focus on targeted detection with a low-throughput screening of samples. Owing to potentially significant health threats and large-scale adulterations, food regulatory agencies and industries require rapid and non-destruct...

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Bibliographic Details
Main Authors: Mohammad Akbar Faqeerzada, Santosh Lohumi, Geonwoo Kim, Rahul Joshi, Hoonsoo Lee, Moon Sung Kim, Byoung-Kwan Cho
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
food adulteration
almond powder
hyperspectral imaging
shortwave infrared
spectral analysis
one-class classification
Online Access:https://www.mdpi.com/1424-8220/20/20/5855

Internet

https://www.mdpi.com/1424-8220/20/20/5855

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