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Photonic Nose–Sensor Platform for Water and Food Quality Control
Author(s) -
Bonifacio Leonardo D.,
Ozin Geoffrey A.,
Arsenault André C.
Publication year - 2011
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201101074
Subject(s) - relevance (law) , computer science , simple (philosophy) , quality (philosophy) , selection (genetic algorithm) , control (management) , fish <actinopterygii> , value (mathematics) , data science , information retrieval , artificial intelligence , machine learning , fishery , biology , philosophy , epistemology , political science , law
Smelling with photonic color is a simple and cost‐effective method to tackle sensing problems of great practical relevance, including water‐quality analysis and monitoring of high‐value foods such as fish and meat. New methods for the selection of statistically relevant, multivariate information can enhance results and bring real applications closer to practice.