With the rapid development of information technology,the application of big data technology in various fields is becoming increasingly widespread,especially in improving the efficiency and accuracy of food quality and safety supervision.Based on this,this article explores the integration of big data and food quality and safety supervision,analyzes its role in improving regulatory efficiency,strengthening risk warning capabilities,enhancing transparency and traceability,reveals the challenges faced by the integration of big data technology and food quality and safety supervision,and proposes corresponding countermeasures and future development trends,in order to provide reference for improving the level of food quality and safety supervision and promoting the high-quality development of the food industry.
维普
万方数据