Development of Blockchain-Based System for Tracking Fish Species' Taxonomy and Conservation Status

Abstract

Overfishing, illicit fishing, and a lack of transparency in the seafood supply chain are just a few of the many issues that fisheries confront. Blockchain technology combats illicit fishing, ensures quality assurance through immutable data, and makes supply networks transparent and traceable. Meanwhile, AI improves sustainability, resource allocation, and decision-making through ecosystem modelling, predictive analytics, intelligent monitoring systems, and fish stock assessment. The combination of blockchain technology and artificial intelligence (AI) has the potential to revolutionize fisheries management, anyhow obstacles including data privacy, integration, and capacity building. The use of blockchain technology and artificial intelligence (AI) in fisheries management is examined in this study. Future research should concentrate on interoperability, user-friendly interfaces, ongoing innovation, and capacity building to fully use these technologies in supporting sustainable fisheries management practices. Perishable fish is the most traded protein diet. Fish and fish products are in high demand due to rising fish consumption brought on by urbanization. The industry has several difficulties, such as overfishing, improper handling, quality issues, and counterfeit fish supplies.