Integration and Analysis of Data in Grain Quality and Safety Traceability Using Blockchain Technology

Abstract

. As the complexity of the global food supply chain continues to grow, ensuring food quality and safety has become an important challenge for the global food industry. Food quality and safety traceability is a key methodology that can be used to track the origin and quality of food to ensure food safety. Meanwhile, blockchain technology, as a distributed ledger technology, provides new opportunities for food traceability. This study aims to explore how to integrate blockchain technology and data fusion analysis to improve the efficiency and accuracy of food quality and safety traceability. This paper first reviews the advantages of blockchain technology in food traceability and introduce the key concepts of data fusion analysis. Then, this paper proposes a blockchain-based framework for food quality and safety traceability, describing in detail the process of data collection, cleaning, fusion and analysis. Through practical case studies, this paper demonstrates the application of the framework in the field of grain quality and safety, and presents the fusion analysis results. Finally, the paper discusses future directions, including technical challenges, regulatory implications, and sustainability considerations. This study provides strong support for the integration of food quality and safety traceability and blockchain technology, which is expected to contribute to the further development of global food security and quality management.