Title
Radio Frequency IDentification for Meat Supply-Chain Digitalisation.
Abstract
Digitalised supply-chain traceability systems can offer wide prospects both for improving safety as well as enhancing perceived quality. However, the coupling between physical goods and information is often difficult for agri-food items. A solution could be the use of RFID (Radio Frequency IDentification) systems. Due to its wide reading range, Ultra-High Frequency (UHF) technology is already widely used in logistics and warehousing, mostly for the identification of batches of items. A growing interest is also emerging in Near Field Communication (NFC), as several smartphones embed an integrated NFC antenna. This paper deals with the automatic identification of meat products at item level, proposing and evaluating the adoption of different RFID technologies. Different UHF and NFC solutions are proposed, which benchmark tag performances in different configurations, including four meat types (fatty beef, lean beef, chicken and pork), by using a specifically designed test bench. As avoiding the application of two different tags could be advantageous, dual frequency devices (UHF and NFC) are also considered. Significant differences in tag performances, which also depend on meat type and packaging, are highlighted. The paper highlights that tag positioning should consider the geometry of the packaging and the relative positioning of tag, meat and reader antenna.
Year
DOI
Venue
2020
10.3390/s20174957
SENSORS
Keywords
DocType
Volume
UHF and HF RFID,NFC,food industry,meat traceability,blockchain,supply-chain
Journal
20
Issue
ISSN
Citations 
17
1424-8220
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Paolo Barge100.34
Alessandro Biglia200.34
Comba Lorenzo3203.20
Davide Ricauda Aimonino4202.87
C. Tortia500.68
Paolo Gay6416.13