Design of Digital Agricultural Product Traceability and Quality Traceability System Supported By Big Data Analysis

With the increasing attention of the society to the quality and safety of agricultural products, the digital agricultural product traceability and quality traceability system has become an important means to solve the hidden dangers of food safety. The traditional agricultural product traceability system has the problems of easy data tampering and low traceability efficiency, so a more advanced and reliable system is needed to ensure the quality and safety of agricultural products. This paper mainly describes the key technologies used in the system design, explains the system architecture design process in detail, and explains the steps of recording and verifying the system traceability information. Finally, two sets of simulation experiment results are as follows: The average query time of the system supported by big data analysis is about 16.1s, while the comprehensive average query time of the traditional system is 20.8s. Meanwhile, the comprehensive average accuracy rate of agricultural product quality prediction is improved by 13.3% after applying big data technology. Experiments designed in this paper verify the performance of the system, and provide a scientific basis for the practical application of digital agricultural product traceability and quality traceability system.