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11.07.2016 | Methodologies and Application

A method with neural networks for the classification of fruits and vegetables

verfasst von: José de Jesús Rubio

Erschienen in: Soft Computing | Ausgabe 23/2017

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Abstract

In this paper, a novel method for the classification of fruits and vegetables is introduced. This technique is divided into two parts, the electronic nose and classification method. First, an electronic nose is designed with an arduino microcontroller and with some electronic sensors to obtain real data of the smells of fruits or vegetables. Second, a classification method is introduced with a neural network to detect between three kinds of objects: fruits or vegetables. The introduced strategy is validated by three experiments with the adaline, multilayer, and radial basis function neural networks.

Vorheriger Artikel Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems

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Titel: A method with neural networks for the classification of fruits and vegetables
verfasst von: José de Jesús Rubio
Publikationsdatum: 11.07.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 23/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-016-2263-2

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