  Odor identification is an important area in a wide range of industries like
cosmetics, food, beverages and medical diagnosis among others. Odor detection
could be done through an array of gas sensors conformed as an electronic nose
where a data acquisition module converts sensor signals to a standard output to
be analyzed. To facilitate odors detection a system is required for the
identification. This paper presents the results of an automated odor
identification process implemented by a fuzzy system and an electronic nose.
First, an electronic nose prototype is manufactured to detect organic compounds
vapor using an array of five tin dioxide gas sensors, an arduino uno board is
used as a data acquisition section. Second, an intelligent module with a fuzzy
system is considered for the identification of the signals received by the
electronic nose. This solution proposes a system to identify odors by using a
personal computer. Results show an acceptable precision.
