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Organoleptic properties remote sensing and life-time prediction along the perishables goods supply-chain
Conference proceeding   Peer reviewed

Organoleptic properties remote sensing and life-time prediction along the perishables goods supply-chain

Valerio Francesco Annese, GE Biccario, S Cipriani and D De Venuto
Proceedings of the International Conference on Sensing Technology, ICST, Vol.2014-January, pp.130-135
2014-January
8th International Conference on Sensing Technology, ICST 2014 (Liverpool)
2014
Handle:
https://hdl.handle.net/10863/53880

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.
url
https://www.scopus.com/pages/publications/84978484278?origin=resultslistView

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