Research on Intelligent Supervision and Application System of Food Traceability Based on Blockchain and Artificial intelligence
Caijin Ling, Ting Zeng, Yang Su · 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) · 2021
The lack of transparency in the production and circulation of commodities and the lack of corresponding supervision have led to endless problems such as food safety, counterfeit and shoddy products, loss and damage of commodities, and damage to the rights and interests of consumers. The traditional centralized database traceability monitoring system has serious problems of data trust, data fragmentation, difficulty in accountability, and low enthusiasm of merchants. In order to solve the traditional system problems, it is proposed to build an intelligent supervision system model for food traceability based on blockchain and artificial intelligence. Blockchain technology can effectively make up and improve the shortcomings of the existing commodity traceability technology, and achieve full process control and real-time storage. Forensic forensics, increase transparency, prevent counterfeiting, and increase consumer trust; AI uses industry-sharing data to perform big data analysis to guide companies in business decisions; at the same time, in order to increase user stickiness and increase the ecological environment of the platform, the article proposes to increase Blockchain and artificial intelligence and application ecology form a more practical and complete integrated system model of traceability, supervision and application. Finally, using FISCO BCOS as a blockchain platform development platform, the validity of the model is verified, and it can provide a certain reference for food traceability companies, software R&D companies, and government regulatory agencies.