Abstract
In the context of epidemic prevention and control, food safety monitoring, data analysis and food safety traceability have become more important. At the same time, the most important reason for food safety issues is incomplete, opaque, and asymmetric information. The most fundamental way to solve these problems is to do a good job of traceability, and establish a reasonable and reliable food safety traceability system. The traceability system is currently an important means to ensure food quality and safety and solve the crisis of trust between consumers and the market. Research on food safety traceability systems based on big data, artificial intelligence and the Internet of Things provides ideas and methods to solve the problems of low credibility and difficult data storage in the application of traditional traceability systems. Therefore, this research takes rice as an example and proposes a food safety traceability system based on RFID two-dimensional code technology and big data storage technology in the Internet of Things. This article applies RFID technology to the entire system by analyzing the requirements of the system, designing the system database and database tables, encoding the two-dimensional code and generating the design for information entry. Using RFID radio frequency technology and the data storage function in big data to obtain information in the food production process. Finally, the whole process of food production information can be traced through the design of dynamic query platform and mobile terminal. In this research, the food safety traceability system based on big data and the Internet of Things guarantees the integrity, reliability and safety of traceability information from a technical level. This is an effective solution for enhancing the credibility of traceability information, ensuring the integrity of information, and optimizing the data storage structure.
Highlights
As the global new crown virus (COVID-19) epidemic intensifies, there are more and more cases of COVID-19 spreading through cold chain logistics channels
The traditional traceability system is integrated with the Internet of Things and big data technology to realize the traceability of the entire agricultural production process of agricultural and sideline products such as planting, processing, testing, warehousing, transportation, and sales
In order to improve the environmental monitoring of rice transportation and storage, the food safety traceability system constructed by this research institute is equipped with temperature and humidity sensors, which can realize the control of environmental factors during the transportation and storage of food
Summary
As the global new crown virus (COVID-19) epidemic intensifies, there are more and more cases of COVID-19 spreading through cold chain logistics channels. The traditional traceability system is integrated with the Internet of Things and big data technology to realize the traceability of the entire agricultural production process of agricultural and sideline products such as planting, processing, testing, warehousing, transportation, and sales This ensured that the source of agricultural and sideline products can be traced, flow can be traced, information can be inquired, and responsibilities can be held accountable to protect people’s health and food safety. DATA PROCESSING After obtaining a large amount of food-related data, this research built a small search engine for food It takes Python’s open sources website framework Django as the main body, and uses elastic search technology for data storage. Enriching the data in the classification table and continue to improve it to provide data support for the classification [15]
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