Abstract
AbstractIn the last two decades, improvements in materials, sensors and machine learning technologies have led to a rapid extension of electronic nose (EN) related research topics with diverse applications. The food and beverage industry, agriculture and forestry, medicine and health-care, indoor and outdoor monitoring, military and civilian security systems are the leading fields which take great advantage from the rapidity, stability, portability and compactness of ENs. Although the EN technology provides numerous benefits, further enhancements in both hardware and software components are necessary for utilizing ENs in practice. This paper provides an extensive survey of the EN technology and its wide range of application fields, through a comprehensive analysis of algorithms proposed in the literature, while exploiting related domains with possible future suggestions for this research topic.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Reference297 articles.
1. T. M. Dymerski, T. M. Chmiel, W. Wardencki. Invited review article: An odor-sensing system-powerful technique for foodstuff studies. Review of Scientific Instruments, vol. 82, no. 11, Article number 111101, 2011. DOI: https://doi.org/10.1063/1.3660805.
2. K. Mori. The Olfactory System: From Odor Molecules to Motivational Behaviors, Tokyo, Japan: Springer, 2014. DOI: https://doi.org/10.1007/978-4-431-54376-3.
3. B. Szulczynski, K. Arminski, J. Namiesnik, J. Gebicki. Determination of odour interactions in gaseous mixtures using electronic nose methods with artificial neural networks. Sensors, vol. 18, no. 2, Article number 519, 2018. DOI: https://doi.org/10.3390/s18020519.
4. H. Zwaardemaker, F. Hogewind. On spray-electricity and waterfall electricity. In Proceedings of the Royal Netherlands Academy of Arts and Sciences, KNAW, Amsterdam, The Netherlands, pp. 429–437, 1920.
5. B. Berglund, U. Berglund, T. Lindvall, L. T. Svensson. A quantitative principle of perceived intensity summation in odor mixtures. Journal of Experimental Psychology, vol. 100, no. 1, pp. 29–38, 1973. DOI: https://doi.org/10.1037/h0035435.
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