Cargando…
Radio Frequency IDentification for Meat Supply-Chain Digitalisation
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 IDentific...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506907/ https://www.ncbi.nlm.nih.gov/pubmed/32883048 http://dx.doi.org/10.3390/s20174957 |
_version_ | 1783585120387596288 |
---|---|
author | Barge, Paolo Biglia, Alessandro Comba, Lorenzo Ricauda Aimonino, Davide Tortia, Cristina Gay, Paolo |
author_facet | Barge, Paolo Biglia, Alessandro Comba, Lorenzo Ricauda Aimonino, Davide Tortia, Cristina Gay, Paolo |
author_sort | Barge, Paolo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7506907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75069072020-09-30 Radio Frequency IDentification for Meat Supply-Chain Digitalisation Barge, Paolo Biglia, Alessandro Comba, Lorenzo Ricauda Aimonino, Davide Tortia, Cristina Gay, Paolo Sensors (Basel) Article 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. MDPI 2020-09-01 /pmc/articles/PMC7506907/ /pubmed/32883048 http://dx.doi.org/10.3390/s20174957 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Barge, Paolo Biglia, Alessandro Comba, Lorenzo Ricauda Aimonino, Davide Tortia, Cristina Gay, Paolo Radio Frequency IDentification for Meat Supply-Chain Digitalisation |
title | Radio Frequency IDentification for Meat Supply-Chain Digitalisation |
title_full | Radio Frequency IDentification for Meat Supply-Chain Digitalisation |
title_fullStr | Radio Frequency IDentification for Meat Supply-Chain Digitalisation |
title_full_unstemmed | Radio Frequency IDentification for Meat Supply-Chain Digitalisation |
title_short | Radio Frequency IDentification for Meat Supply-Chain Digitalisation |
title_sort | radio frequency identification for meat supply-chain digitalisation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506907/ https://www.ncbi.nlm.nih.gov/pubmed/32883048 http://dx.doi.org/10.3390/s20174957 |
work_keys_str_mv | AT bargepaolo radiofrequencyidentificationformeatsupplychaindigitalisation AT bigliaalessandro radiofrequencyidentificationformeatsupplychaindigitalisation AT combalorenzo radiofrequencyidentificationformeatsupplychaindigitalisation AT ricaudaaimoninodavide radiofrequencyidentificationformeatsupplychaindigitalisation AT tortiacristina radiofrequencyidentificationformeatsupplychaindigitalisation AT gaypaolo radiofrequencyidentificationformeatsupplychaindigitalisation |