| This course innovatively connects food safety with the most popular artificial intelligence nowadays, providing students with a blueprint for safer food in the future. With the support of existing science and technology, students can learn this course to expand their horizons and conceive the direction of future food safety. The first half of the course will introduce how to use sensors to perform detection at various stages of food manufacturing and the after-market to obtain data. This data is classified by computer calculations and can be used with artificial intelligence to perform prediction, early warning, automation and other applications, such as : Combined with the application of the Internet of Things in food production and sales history, automatic supply chain management, and food safety early warning, students are trained to apply it to various situations encountered in the food industry. Food safety management is based on risk assessment, so the application of risk assessment in food safety management will be introduced in the second half of the course. For huge data such as risk assessment and dietary surveys, big data and artificial intelligence calculation and analysis can be used to more accurately Quickly obtain many important parameters such as: food residue tolerance, recommended daily intake, toxic equivalent, etc., to establish the basis for food safety management. |