Optimized variable selection and machine learning models for olive oil quality assessment using portable near infrared spectroscopy-Reference-Cited by-同舟云学术

Optimized variable selection and machine learning models for olive oil quality assessment using portable near infrared spectroscopy

Published:2023-12 Issue: Volume:303 Page:123213
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Reda Rabie,Saffaj Taoufiq,Bouzida Ilham,Saidi Ouadi,Belgrir Malika,Lakssir Brahim,El Hadrami El Mestafa

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference46 articles.

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2. A. Mohammed et al., 45 La Diète Méditerranéenne À Chefchaouen 1 La Diète Méditerranéenne À Chefchaouen, 2017 [Online], Available: www.chefchaouen.com.

3. Direct, reagent-free determination of free fatty acid content in olive oil and olives by Fourier transform Raman spectrometry;Muik;Anal. Chim. Acta,2003

4. The use of near-infrared spectrometry in the olive oil industry;Armenta;Crit. Rev. Food Sci. Nutr.,2010

5. H. Regulation, Commission Regulation (EEC) No. 2568/91 of 11 July 1991 on the characteristics of olive oil and olive-residue oil and on the relevant methods of analysis Official Journal L 248, 5 September 1991, Off. JL 248 (1991) 1–83.

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