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

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

1Prof.B.B.Waghmode, 2Sakshi Bele, 3Ganesh Jethure, 4Rohit Gawali

1,2,3,4Sinhgad Institute of Technology and Science, Narhe, Pune, India

Abstract— The agri-food industry faces persistent challenges in managing supply chains, including inefficiencies, traceability issues, and compliance concerns. Leveraging blockchain technology offers transparency, yet optimizing decision-making remains a challenge. This research explores the integration of deep reinforcement learning (DRL) with blockchain-based agri-food supply chains to enhance efficiency, transparency, and compliance. The study focuses on developing DRL models, integrating them with blockchain, optimizing operations, ensuring quality control, and evaluating performance.

Index Terms— Agri-Food Supply Chains, Blockchain Technology, Deep Reinforcement Learning, Decision-Making Optimization, Transparency, Compliance