abstract

• We propose a method to detect adulterated honey relying on hyperspectral imaging. Our proposal uses linear unmixing and machine learning based on known honey spectra. The proposal was tested on a published database that achieved an accuracy of 0.92 to 0.99. © Optica 2024, © 2024 The Author(s)

authors

• Campos Delgado David Leonardo
• Gutierrez-Navarro O.

publication date

• 2024-01-01

published in

• Latin America Optics and Photonics Conference, LAOP 2024 in Proceedings Optica Latin America Optics and Photonics Conference, LAOP 2024  Proceedings

keywords

• HyperSpectral; Linear machines; Linear unmixing; Machine-learning; Spectra's

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