智慧渔业技术在水产品质量安全控制与可追溯领域的应用研究进展OA

The quality and safety control of aquatic products and the construction of traceability systems are the key demands for the sustainable development of the fishery industry.The aquatic products supply chain involves numerous stages,and comprehensive quality and safety control and traceability have long relied on manual records and segmented management,making it difficult to implement real-time monitoring and trustworthy evidence storage"from pond to plate".Smart fishery,supported by modern information technology,provides an innovative solution for building a digital and intelligent management system"from pond to table".The application of the Internet of Things(IoT),artificial intelligence(AI),and blockchain technologies in the fisheries sector has provided new technical conditions to change this situation.This paper focuses on the application progress of the aforementioned three technologies in aquaculture,harvesting,processing,storage and transportation,and whole-chain traceability,systematically reviewing the current application status of smart fisheries technologies in the field of aquatic product quality and safety control and traceability.The paper elaborates on the framework of the smart fisheries technology system,and then focuses on analyzing its applications in quality and safety control in aquatic product aquaculture,processing,and storage and transportation stages,as well as the innovative practices and remarkable achievements in constructing a credible traceability system for the entire industry chain.At the same time,the practical application of smart fisheries technologies faces challenges such as fragmented data standards,high deployment thresholds for small and medium-sized aquaculture and fishing entities,insufficient cross-chain interoperability,and the absence of specialized AI models for the aquaculture field,which also constrain the advancement from single-point applications to whole-chain coordination.In the future,efforts will focus on deep technology integration,construction of new specialized large models,improvement of standard and specification systems,reduction of application costs,and optimization of user experience to promote the application of smart fisheries in the fields of aquatic product quality and safety control and traceability.This review provides a comprehensive insight into smart fishery technologies applied to quality and safety control,and trusted traceability system construction for aquatic products,thereby offering evidence-based insights for both academic research and industry practice.Nevertheless,persistent challenges remain,including the lack of standardized data frameworks,prohibitive implementation costs for small-scale operators,and insufficient cross-chain compatibility.Future initiatives will concentrate on in-depth technology integration,creating specialized large models,standardizing protocols,and reducing costs to facilitate extensive adoption and realize a completely transparent,intelligent quality assurance system.