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SELICA: Advanced Sensor Identification System for Secure and Sustainable Food Chain Management

A Real Experience of Using Smart Environments to Address Industrial Needs

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Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information (UCAmI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9454))

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Abstract

In this paper the systems developed in the framework of the SELICA project are described. The project aims to monitor the fresh-food cold chain and control its temperature and humidity levels. After a preliminary analysis of the cold chain, two blackspots were detected: load and unload areas and the means of transport. For this purpose a set of temperature and humidity sensors integrated into passive RFID tags are used. The reading of these tags is done by embedded systems which are also in charge of sending these data to the central management system. SELICA project is a work in progress with real industrial experience that has produced the prototypes described in this paper.

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Acknowledgments

This work has been funded by the Ministry of Economy and Competitiveness of Spain under INNPACTO funding program (SELICA project, IPT-2012-0381-060000). Special thanks to Inkoa Sistemas S.L, Garaia Co-op, Farsens S.L and planet Media Studios S.L. for their support.

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Authors and Affiliations

  1. Deusto Institute of Technology (DeustoTech), University of Deusto, 48007, Bilbao, Spain

    Unai Hernandez-Jayo, Janire Larrañaga, Nekane Sainz & Juan José Echevarria

Authors
  1. Unai Hernandez-Jayo
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  2. Janire Larrañaga
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  3. Nekane Sainz
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  4. Juan José Echevarria
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Corresponding author

Correspondence to Unai Hernandez-Jayo .

Editor information

Editors and Affiliations

  1. Universidad de Alicante, Alicante, Spain

    Juan M. García-Chamizo

  2. University of Calabria, Rende, Italy

    Giancarlo Fortino

  3. Universidad de Chile, Santiago, Chile

    Sergio F. Ochoa

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© 2015 Springer International Publishing Switzerland

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Hernandez-Jayo, U., Larrañaga, J., Sainz, N., Echevarria, J.J. (2015). SELICA: Advanced Sensor Identification System for Secure and Sustainable Food Chain Management. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-26401-1_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26400-4

  • Online ISBN: 978-3-319-26401-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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