@article {10.3844/jcssp.2020.314.320,
article_type = {journal},
title = {Survey on Applications of Electronic Nose},
author = {Keerthana, S. and Santhi, B.},
volume = {16},
number = {3},
year = {2020},
month = {Mar},
pages = {314-320},
doi = {10.3844/jcssp.2020.314.320},
url = {https://thescipub.com/abstract/jcssp.2020.314.320},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}