Fecha de publicación: 09/09/2022 Fuente: Wipo "BigData" Integrate IoT and Big Data to build a food safety tracking system that protects consumers’ health using Artificial Intelligence Abstract: The Internet of Things (IoT) generates a tremendous amount of streaming data, often known as "big data," which opens up new doors for the monitoring of agricultural and food production operations. The food business is beginning to place a greater emphasis on big data from social media platforms, in addition to sensors. In this article, we will provide an overview of the Internet of Things (IoT), big data, and artificial intelligence (AI), as well as the disruptive impact that each of these three technologies will play in determining the future of agri-food systems. After providing a brief overview of the Internet of Things, Big Data, and Artificial Intelligence, the following topics will be covered: the role of IoT and big data analysis in agriculture (including greenhouse monitoring, intelligent farm machines, and drone-based crop imaging); supplychain modernization; social media (for open innovation and sentiment analysis) in the food industry; food quality assessment (using spectral methods and sensor fusion); and finally, food safety (using gene sequencing and blockchain based digital traceability). The commercial status of applications and the outcomes of translational research are given a lot of priority in this study. The monitoring of food safety, the analysis of data, and the traceability of food safety have all taken on a greater importance in the context of epidemic prevention and control. At the same time, the lack of complete, clear, and consistent information is the single most important factor contributing to problems with food safety. Performing a thorough job of traceability and putting in place a food safety traceability system that is both reasonable and dependable is the most fundamental step that can be taken to remedy these issues. At the moment, the system of traceability is an essential method to guarantee the quality and safety of food and to overcome the crisis of trust that has developed between customers and the market. The use of traditional traceability systems is plagued by issues of poor credibility and problematic data storage. Research on food safety traceability systems that are based on big data, artificial intelligence, and the internet of things provides ideas and approaches to tackle these issues. Rice is used as an example in this research project to propose a food safety traceability system that is based on RFID two-dimensional code technology and large data storage technology in the Internet of Things. This article demonstrates how RFID technology may be applied to the complete system by performing an analysis of the system's requirements, building the system database and database tables, encoding the two-dimensional code, and generating the design for information entry. Obtaining information about the food production process through the utilisation of the RFID radio frequency technology and the data storage function provided by big data. In conclusion, the information on the entirety of the food production process may be tracked thanks to the development of a dynamic query platform and mobile terminal. According to the findings of this study, the food safety traceability system that is based on big data and the Internet of Things guarantees the technical integrity, dependability, and safety of traceability information. This is an efficient method that may improve the credibility of the information regarding traceability, guarantee the integrity of the information, and optimise the structure of the data storage.