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

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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.

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Acknowledgments

The author thanks the editor and the reviewers for their valuable comments and insightful suggestions, which can help to improve this research significantly. The authors thank the Secretaria de Investigacion y Posgrado, the Comision de Operacion y Fomento de Actividades Academicas, and the Consejo Nacional de Ciencia y Tecnologia for their help in this research.

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Authors and Affiliations

  1. Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional, Av. de las Granjas no. 682, Col. Santa Catarina, 02250, Mexico, D.F., Mexico

    José de Jesús Rubio

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  1. José de Jesús Rubio
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Correspondence to José de Jesús Rubio.

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Communicated by V. Loia.

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de Jesús Rubio, J. A method with neural networks for the classification of fruits and vegetables. Soft Comput 21, 7207–7220 (2017). https://doi.org/10.1007/s00500-016-2263-2

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  • DOI: https://doi.org/10.1007/s00500-016-2263-2

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