Journal
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
Volume 17, Issue 2, Pages 179-209Publisher
SPRINGERNATURE
DOI: 10.1007/s11633-019-1212-9
Keywords
Artificial intelligence; machine learning; pattern recognition; electronic nose (EN); sensors technology
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In 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.
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