Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality

Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality

This study introduced a metal-oxide-semiconductor (MOS) based electronic nose (E-nose) to perform on-the-spot classification of superior-quality black tea. A piecewise feature method based on a line-fitting model was introduced to extract comprehensive features of E-nose sensor response curves. Prin...

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Bibliographic Details
Main Authors: Kombo Othman Kombo, Nasrul Ihsan, Tri Siswandi Syahputra, Shidiq Nur Hidayat, Mayumi Puspita, Wahyono, Roto Roto, Kuwat Triyana
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Scientific African
Subjects:
Electronic nose
Superior-quality
Line-fitting model
Support vector machine
Chromatography-mass spectrometry
Online Access:http://www.sciencedirect.com/science/article/pii/S246822762400098X

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