Effective Blockchain-Based Management of Agri-Food Supply Chains Using Deep Reinforcement Learning

Blockchain based agri food supply chains augmented with Deep Reinforcement Learning (DRL) optimize important problems like perishability, seasonality as well as demand variability. The traditional supply chain models, which are mostly static, fail to respond to the dynamic supply chain conditions and hence there is a strong need for the introduction of new ideas. In this work, blockchain is integrated for secure and transparent data management, and data for automation, like inventory management, route planning and price adjustment, is optimized in real time using DRL. The blockchain is a phenomenon of decentralization that improves trust and traceability, and the flexibility of DRL guarantees resource utilization in a way that can adapt to unexpected settings. The proposed system is piloted and a case studied to show its capability of enhancing supply chain resilience, recycle wasted products and scale efficiently. It specifies the transformative outlook of the mixture of blockchain and AI technologies in agricultural and Supply chain administration.