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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/17/4957 |
| _version_ | 1797554862307672064 |
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| author | Paolo Barge Alessandro Biglia Lorenzo Comba Davide Ricauda Aimonino Cristina Tortia Paolo Gay |
| author_facet | Paolo Barge Alessandro Biglia Lorenzo Comba Davide Ricauda Aimonino Cristina Tortia Paolo Gay |
| author_sort | Paolo Barge |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T16:39:04Z |
| format | Article |
| id | doaj.art-ba8cebe1b7fc446fa32a75bbbdd1530f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:39:04Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ba8cebe1b7fc446fa32a75bbbdd1530f2023-11-20T12:14:08ZengMDPI AGSensors1424-82202020-09-012017495710.3390/s20174957Radio Frequency IDentification for Meat Supply-Chain DigitalisationPaolo Barge0Alessandro Biglia1Lorenzo Comba2Davide Ricauda Aimonino3Cristina Tortia4Paolo Gay5Department of Agricultural, Forest and Food Sciences (DiSAFA), Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), ItalyDepartment of Agricultural, Forest and Food Sciences (DiSAFA), Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), ItalyDepartment of Agricultural, Forest and Food Sciences (DiSAFA), Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), ItalyDepartment of Agricultural, Forest and Food Sciences (DiSAFA), Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), ItalyDepartment of Agricultural, Forest and Food Sciences (DiSAFA), Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), ItalyDepartment of Agricultural, Forest and Food Sciences (DiSAFA), Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), ItalyDigitalised 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.https://www.mdpi.com/1424-8220/20/17/4957UHF and HF RFIDNFCfood industrymeat traceabilityblockchainsupply-chain |
| spellingShingle | Paolo Barge Alessandro Biglia Lorenzo Comba Davide Ricauda Aimonino Cristina Tortia Paolo Gay Radio Frequency IDentification for Meat Supply-Chain Digitalisation Sensors UHF and HF RFID NFC food industry meat traceability blockchain supply-chain |
| 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 | UHF and HF RFID NFC food industry meat traceability blockchain supply-chain |
| url | https://www.mdpi.com/1424-8220/20/17/4957 |
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