Classification via an Embedded Approach

Classification via an Embedded Approach

This paper presents the results of an automated volatile organic compound (VOC) classification process implemented by embedding a machine learning algorithm into an Arduino Uno board. An electronic nose prototype is constructed to detect VOCs from three different fruits. The electronic nose is const...

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Bibliographic Details
Main Authors: José de Jesús Rubio, Francisco Jacob Avila, Adolfo Meléndez, Juan Manuel Stein, Jesús Alberto Meda, Carlos Aguilar
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Designs
Subjects:
Arduino
artificial intelligence
electronic nose
embedded systems
approach
VOC classification
Online Access:https://www.mdpi.com/2411-9660/1/1/7

Internet

https://www.mdpi.com/2411-9660/1/1/7

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