JOURNAL ARTICLE

Blockchain Technology in Fisheries Industry: A Systematic Literature Review

Rarastoeti PratiwiLastri Anggi FaniFirmansyah Kusasi

Year: 2024 Journal:   BIO Web of Conferences Vol: 134 Pages: 05004-05004   Publisher: EDP Sciences

Abstract

This paper explores the potential of blockchain technology in enhancing the fisheries industry, focusing on traceability, sustainability, and economic efficiency. The fisheries sector plays a vital role in global food security but faces significant challenges, including illegal, unreported, and unregulated (IUU) fishing, overfishing, and inefficiencies in supply chain management. This systematic literature review synthesizes existing research on blockchain applications in fisheries, highlighting its capacity to improve transparency and accountability throughout the supply chain. Blockchain’s immutable ledger and real-time data sharing can enhance traceability, allowing stakeholders to verify the origins of seafood products and ensure compliance with sustainability standards. Additionally, the technology can reduce transaction costs by eliminating intermediaries, thereby increasing profit margins for fishermen. Despite the numerous benefits, challenges such as integration with existing systems and the need for stakeholder collaboration must be addressed for successful implementation. This study contributes to the growing body of knowledge on blockchain in the fisheries sector and offers insights for policymakers and industry stakeholders seeking to leverage technology for sustainable practices.

Keywords:
Blockchain Fishery Business Computer science Computer security Biology

Metrics

6
Cited By
9.17
FWCI (Field Weighted Citation Impact)
64
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Halal products and consumer behavior
Social Sciences →  Social Sciences →  Sociology and Political Science
Organizational and Employee Performance
Physical Sciences →  Computer Science →  Artificial Intelligence
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