WSN-Based Near Real-Time Environmental Monitoring for Shelf Life Prediction Through Data Processing to Improve Food Safety and Certification

Biccario, G.E., Annese, V.F. , Cipriani, S. and De Venuto, D. (2014) WSN-Based Near Real-Time Environmental Monitoring for Shelf Life Prediction Through Data Processing to Improve Food Safety and Certification. In: 11th International Conference on Informatics in Control, Automation and Robotics, Vienna, Austria, 01-03 Sep 2014, pp. 777-782. ISBN 9789897580390 (doi: 10.5220/0005102407770782)

Abstract

This position paper aims to support a control technique in the perishables goods supply-chain through a combination of near real-time wireless sensor network (WSN) for environmental monitoring and further data processing to predict the shelf life of the product. This approach returns a low cost, versatile and efficient tool that can significantly improve the safety and food certification through the organoleptic qualities control using three different sensors, i.e. temperature, light and humidity. In this article, therefore, the advantages of the proposed technique are explained and a case study is presented to support this approach, as well as an example of processing algorithm for shelf life evaluation.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Annese, Dr Valerio
• Authors: Biccario, G.E., Annese, V.F., Cipriani, S., and De Venuto, D.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9789897580390
• Copyright Holders: Copyright © 2014 SCITEPRESS
• First Published: First published in Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics: 777-782
• Publisher Policy: Reproduced under a Creative Commons License