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.