Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology

At present, sustainability and emerging technology are the main issues in any supply chain management (SCM) sector. At the same time, the ongoing pandemic is increasing consumers� concerns about food safety, processing, and distribution, which should meet sustainability requirements. Thus, supervisi...

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Main Authors: Rahman L.F., Alam L., Marufuzzaman M., Sumaila U.R.
Other Authors: 36984229900
Format: Review
Published: MDPI 2023
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spelling my.uniten.dspace-259752023-05-29T17:05:51Z Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology Rahman L.F. Alam L. Marufuzzaman M. Sumaila U.R. 36984229900 37053462100 57205234835 6701840163 At present, sustainability and emerging technology are the main issues in any supply chain management (SCM) sector. At the same time, the ongoing pandemic is increasing consumers� concerns about food safety, processing, and distribution, which should meet sustainability requirements. Thus, supervision and monitoring of product quality with symmetric information traceability are important in fresh food and fishery SCM. Food safety and traceability systems based on blockchain, Internet of Things (IoT), wireless sensor networks (WSN), and radio frequency identification (RFID) provide reliability from production to consumption. This review focuses on RFID-based traceability systems in fisheries� SCM, which have been employed globally to ensure fish quality and security, and summarizes their advantages in real-time applications. The results of this study will help future researchers to improve consumers� trust in fisheries SCM. Thus, this review aims to provide guidelines and solutions for enhancing the reliability of RFID-based traceability in food SCM systems so to ensure the integrity and transparency of product information. � 2021 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T09:05:51Z 2023-05-29T09:05:51Z 2021 Review 10.3390/foods10102265 2-s2.0-85115973715 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115973715&doi=10.3390%2ffoods10102265&partnerID=40&md5=41d6a45fadefb0678c17e397e3c2233d https://irepository.uniten.edu.my/handle/123456789/25975 10 10 2265 All Open Access, Gold, Green MDPI Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description At present, sustainability and emerging technology are the main issues in any supply chain management (SCM) sector. At the same time, the ongoing pandemic is increasing consumers� concerns about food safety, processing, and distribution, which should meet sustainability requirements. Thus, supervision and monitoring of product quality with symmetric information traceability are important in fresh food and fishery SCM. Food safety and traceability systems based on blockchain, Internet of Things (IoT), wireless sensor networks (WSN), and radio frequency identification (RFID) provide reliability from production to consumption. This review focuses on RFID-based traceability systems in fisheries� SCM, which have been employed globally to ensure fish quality and security, and summarizes their advantages in real-time applications. The results of this study will help future researchers to improve consumers� trust in fisheries SCM. Thus, this review aims to provide guidelines and solutions for enhancing the reliability of RFID-based traceability in food SCM systems so to ensure the integrity and transparency of product information. � 2021 by the authors. Licensee MDPI, Basel, Switzerland.
author2 36984229900
author_facet 36984229900
Rahman L.F.
Alam L.
Marufuzzaman M.
Sumaila U.R.
format Review
author Rahman L.F.
Alam L.
Marufuzzaman M.
Sumaila U.R.
spellingShingle Rahman L.F.
Alam L.
Marufuzzaman M.
Sumaila U.R.
Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
author_sort Rahman L.F.
title Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
title_short Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
title_full Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
title_fullStr Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
title_full_unstemmed Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
title_sort traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
publisher MDPI
publishDate 2023
_version_ 1806425861733220352
score 13.222552