Quantitative analysis of adulteration in extra virgin olive oil based on one-dimensional Convolutional neural network and portable raman spectroscopy

ZHANG Huanjun; DAI Zhen; FEI Hongxiao

doi:10.13883/j.issn1004-5929.202404009

The Journal of Light Scattering, Volume. 36, Issue 4, 436(2024)

Quantitative analysis of adulteration in extra virgin olive oil based on one-dimensional Convolutional neural network and portable raman spectroscopy

ZHANG Huanjun¹, DAI Zhen², and FEI Hongxiao³

Author Affiliations

¹Zhumadian vocational and technical college, Zhumadian, 463000, Henan, China

²Hunan vocational college of science and technology, School of Software, Changsha, 410004, Hunan, China

³Central south university, school of computer science and engineering, Changsha, 410012, Hunan, China

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ZHANG Huanjun, DAI Zhen, FEI Hongxiao. Quantitative analysis of adulteration in extra virgin olive oil based on one-dimensional Convolutional neural network and portable raman spectroscopy[J]. The Journal of Light Scattering, 2024, 36(4): 436

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Paper Information

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Received: Jan. 7, 2024

Accepted: Jan. 21, 2025

Published Online: Jan. 21, 2025

The Author Email:

DOI:10.13883/j.issn1004-5929.202404009

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology