Research on Data-Driven Food Safety Supervision Mechanism
Food safety has always been the focus of attention from all walks of life.Based on the data-driven concept,exploring how to construct a scientific and efficient food safety supervision mechanism has become a research hotspot in the industry in recent years.This paper discusses the connotation and significance of data-driven food safety supervision mechanism,analyzes the practical cases of data-driven food safety supervision at home and abroad,and proposes the path to build a data-driven food safety supervision mechanism on the basis of summarizing experience and shortcomings,including improving the food safety data collection mechanism,establishing a food safety big data platform,using big data analysis technology to identify food safety risks,and optimizing the food safety supervision process.
food safetyregulatory mechanismsdata drivenbig data
NETL
NSTL
万方数据
