可追溯性
计算机科学
块链
农药残留
农业
风险分析(工程)
计算机安全
数据库
杀虫剂
业务
软件工程
生态学
农学
生物
作者
Meng Wang,Feng Hu,D. Chen,Qing Zhao,Yilang Qin,Zaili Yang,Guoqiang Li
摘要
In the face of serious centralization of the pesticide residue detection platform system structure for agricultural products, difficulty in ensuring the authenticity of detection results, and low confidence in the traceability information chain, a pesticide residue detection traceability system based on internet of things technology and blockchain is constructed to meet the changing needs. The pesticide residue detection and traceability system consists of two main parts: agricultural product pesticide residue embedded detection equipment and blockchain based traceability system. Based on the Internet of Things and blockchain technology, a one-time unique detection code is generated as the task authorization basis for single detection. The detection results adopt a dual storage design of storing traceability hash values on the traceability information chain off chain, and a microservice platform is built using PAAS architecture and HTML5 technology. In addition, the Apriori algorithm is used to construct a pesticide residue risk warning model. This system has achieved reliable collection, transmission, and traceability of pesticide residue detection data for agricultural products. Consumers can obtain agricultural product detection information through traceability source code, effectively solving the problem of low confidence and authenticity of pesticide residue detection data. It has high application value in the construction of agricultural product quality and safety.
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