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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49714
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â 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.
KEYWORDS
Publication Date
6/8/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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