Enhancing Honey Adulteration Detection With Optimal Subspace Wavelength Reduction in Vis-NIR Reflection Spectroscopy

Enhancing Honey Adulteration Detection With Optimal Subspace Wavelength Reduction in Vis-NIR Reflection Spectroscopy

The accurate detection of honey adulteration is paramount for maintaining the quality and authenticity of honey products. In this study, we introduce a novel feature selection method, termed Optimal Subspace Wavelength Reduction (OSWR), and integrate it with reflectance Visible-Near Infrared (Vis-NI...

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Bibliographic Details
Main Authors: Mokhtar Al-Awadhi, Ratnadeep Deshmukh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Chemometric analysis
feature selection
honey adulteration
machine learning
optimal subspace wavelength reduction
Vis-NIR spectroscopy
Online Access:https://ieeexplore.ieee.org/document/10363203/

Internet

https://ieeexplore.ieee.org/document/10363203/

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