文章基本信息

标题：Survey on Applications of Electronic Nose
本地全文：下载
作者：Keerthana, S. ; Santhi, B.
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2020
卷号：16
期号：3
页码：314-320
DOI：10.3844/jcssp.2020.314.320
出版社：Science Publications
摘要：Food plays a vital role in our daily life. Providing good quality food to consumers is essential. Food quality can be accessed using the Electronic nose. Electronic nose (E-nose) is an instrument for odor analysis. E-nose mimics the human olfaction system. It is widely used in predicting the quality of foodstuffs and detecting the contamination in foods. E-nose can also be used in outdoor monitoring such as air quality monitoring and detect the hazardous odors emitted wastewater treatment plants. Application of E-nose is increasing day by day. In this paper, we consolidated the previous works on E-nose. They had applied different machine learning algorithms to construct a model. In most of the works, for the classification of data, they used Support Vector Machine and Linear Discriminant Analysis, which shows higher accuracy when comparing to other algorithms..
关键词：Electronic Nose; Food Quality; Support Vector Machine; Linear Discriminant Analysis; Support Vector Regression