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.
|Autori interni:||DE VENUTO, Daniela|
|Titolo:||Organoleptic Properties Remote Sensing and Life-Time Prediction along the Perishables Goods Supply-Chain|
|Rivista:||INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS|
|Data di pubblicazione:||2014|
|Appare nelle tipologie:||1.1 Articolo in rivista|