Organoleptic Properties Remote Sensing and Life-Time Prediction Along the Perishables Goods Supply-Chain

Annese, V.F. , Biccario, G.E., Cipriani, S. and De Venuto, D. (2014) Organoleptic Properties Remote Sensing and Life-Time Prediction Along the Perishables Goods Supply-Chain. In: 8th International Conference on Sensing Technology, Liverpool, UK, 2-4 Sep 2014, pp. 130-135.

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Abstract

Nowadays, two of the most compelling challenges in the field of food safety and certification are the reduction of the multitude of food losses and wastes in the supply chain and the improvement of certification and monitoring procedures during each stage of production. The aim of this paper is to propose an effective solution to both problems: a wireless sensor network (WSN) combined with a further data processing for real-time monitoring and shelf life prediction.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Annese, Dr Valerio
Authors: Annese, V.F., Biccario, G.E., Cipriani, S., and De Venuto, D.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
ISSN:2156-8065

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