Information Sharing Management System Based on Blockchain Using Deep Reinforcement Learning

Abstract

In recent years, the food supply system has become increasingly globalized. Traditional traceability systems have issues with centralized administration, opaque information, untrustworthy data, and the ease with which information islands can be created. To address the aforementioned issues, this study proposes a blockchain-based traceability system for storing and querying product information throughout the agricultural supply chain. Most existing systems, on the other hand, are unable to meet the traceability and management requirements of ASCs. To address these concerns, we first develop a blockchain-based ASC architecture for product traceability, which provides decentralised security for agri-food tracing data stored in ASCs. A Deep Reinforcement Learning based Supply Chain Management (DR-SCM) system is then offered to make effective judgments on the production and storage of agri-food commodities for profit optimization. In a variety of ASC scenarios, extensive simulation experiments are conducted out to demonstrate the efficacy of the proposed blockchain-based infrastructure and the DR-SCM strategy.