Research of food safety risk assessment methods based on big data

Abstract

The risk of food safety is serious in China, there are more and more food safety problems involving complex application of big data. The food safety risk assessment under the background of big data is an important issue. The paper takes dairy productions as an example to explain a method of dairy productions risk assessment using parallel support vector machine in the big data platform. We establish big data platform firstly, parallel the cascade support vector machine in the big data platform to obtain the assessment model secondly and get assessment results by data process according to the features of real-time data at last. The results of experiments show that big data platform can process dairy productions big data real-time. The accuracy of dairy productions safety assessment has improved.