Organoleptic Properties Remote Sensing and Life- Time Prediction along the Perishables Goods Supply-Chain
By: V.F. Annese, G.E. Biccario, S. Cipriani and D. De Venuto
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.
DOI: https://doi.org/10.21307/ijssis-2019-103 | Journal eISSN: 1178-5608
Language: English
Page range: 1 - 6
Published on: Feb 15, 2020
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2020 V.F. Annese, G.E. Biccario, S. Cipriani, D. De Venuto, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.