In this paper we present an artificial olfactory system for classification and recognition of both quality and geographical origin of olive oil. The olfactory system employs a set of metal oxide sensors. Two different pattern recognition systems are considered: in the first, the sensor signals are modeled by a fuzzy logic-based method, whereas in the second, sensor signals are expressed in terms of a few FFT coefficients and sensor responses are appropriately aggregated.
An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils
COCOCCIONI, MARCO;LAZZERINI, BEATRICE;MARCELLONI, FRANCESCO
2003-01-01
Abstract
In this paper we present an artificial olfactory system for classification and recognition of both quality and geographical origin of olive oil. The olfactory system employs a set of metal oxide sensors. Two different pattern recognition systems are considered: in the first, the sensor signals are modeled by a fuzzy logic-based method, whereas in the second, sensor signals are expressed in terms of a few FFT coefficients and sensor responses are appropriately aggregated.File in questo prodotto:
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