A Review on Electronic Nose: Coherent Taxonomy, Classification, Motivations, Challenges, Recommendations and Datasets

A Review on Electronic Nose: Coherent Taxonomy, Classification, Motivations, Challenges, Recommendations and Datasets

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Context: Quality Control (QC) has been constantly an essential concern in many fields like food industry production, medical drugs, environmental protection, and so on. An odor or flavor, as a global fingerprint, can be implemented as a non-invasive mechanism for quality assurance. This computer-bas...

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Bibliographic Details
Main Authors: Al-Dayyeni, WS (Author), Alfadli, IM (Author), Al-Faouri, AW (Author), Al-Shareefi, NA (Author), Al-Yousif, S (Author), Ameerbakhsh, OZ (Author), Ghabban, F (Author), Jaber, MM (Author), Mnati, MJ (Author), Najm, IA (Author), Saleh, AH (Author), Taher, MM (Author), Tahir, NM (Author)
Format: Article
Language:English
Published: 2021
Subjects:
Artificial olfaction
ARTIFICIAL SENSES
COMPUTER VISION
DISCRIMINATION
DRIFT
electronic nose
Electronic noses
E-TONGUE
feature classification
FOOD AUTHENTICITY
Food industry
food quality
FUSION
GEOGRAPHICAL ORIGIN
IDENTIFICATION
machine learning
Olfactory
pattern recognition
Pattern recognition
Quality assessment
QUALITY ASSESSMENT
Sensor arrays
Taxonomy
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