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

https://doi.org/10.1109/access.2021.3062410
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Supply Chain Management of Drug Products in Blockchain Using Reinforcement Learning
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What does digital transformation do in agriculture? A systematic literature review of Agri-food sector's digitalisation
inferred← citeshttps://doi.org/10.17762/ijritcc.v10i1s.5824openalex-snapshot
SCMBQA: Design of a Customised SCM-Aware Sidechaining Model for QoS Enhancement under Attack Scenarios
inferred← citeshttps://doi.org/10.18280/ijsse.120406openalex-snapshot
Review of Security Principles and Security Functions in Critical Information Infrastructure Protection
inferred← citeshttps://doi.org/10.20545/isctj.v08.i09.01openalex-snapshot
Blockchain Technology to Ensure Traceability of Agriculture Supply Chain Management
inferred← citeshttps://doi.org/10.21203/rs.3.rs-863623/v1openalex-snapshot
Investment Decisions of the Blockchain-Based Anti-Counterfeiting Traceability Service in A High-Quality Fresh Supply Chain
inferred← citeshttps://doi.org/10.2139/ssrn.4868017openalex-snapshot
Deep Reinforcement Learning for Optimizing Agri-Food Supply Chain
inferred← citeshttps://doi.org/10.2139/ssrn.5692154openalex-snapshot
Deep convolutional Koopman network with coordinate attention based Gated Recurrent Unit for Blockchain-Inventory Management
inferred← citeshttps://doi.org/10.2139/ssrn.6299588openalex-snapshot
Quantum Machine Learning in Agricultural Supply Chain Management: A Comprehensive Review of Predictive, Prescriptive, and Optimisation Approaches
inferred← citeshttps://doi.org/10.22215/timreview/1446openalex-snapshot
An Exploration of Blockchain-based Traceability in Food Supply Chains: On the Benefits of Distributed Digital Records from Farm to Fork
inferred← citeshttps://doi.org/10.23919/fruct56874.2022.9953846openalex-snapshot
Framework to Improve the Traceability of the Coffee Production Chain in Perú by Applying a Blockchain Architecture
inferred← citeshttps://doi.org/10.24200/sci.2023.59793.6429openalex-snapshot
A sustainable rice supply chain planning from the farm to the table: a case study
inferred← citeshttps://doi.org/10.24251/hicss.2022.246openalex-snapshot
Deep Reinforcement Learning for Supply Chain Synchronization
inferred← citeshttps://doi.org/10.31387/oscm0560411openalex-snapshot
Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
inferred← citeshttps://doi.org/10.32604/cmes.2025.070944openalex-snapshot
Applications of AI and Blockchain in Origin Traceability and Forensics: A Review of ICs, Pharmaceuticals, EVs, UAVs, and Robotics
inferred← citeshttps://doi.org/10.3389/fsens.2022.977770openalex-snapshot
Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in Food Services
inferred← citeshttps://doi.org/10.3389/fsufs.2025.1649834openalex-snapshot
Supply chain risks in agri-food systems: a comprehensive review of economic vulnerabilities and mitigation approaches
inferred← citeshttps://doi.org/10.3390/agriculture12060829openalex-snapshot
Investment Decisions of Blockchain-Based Anti-Counterfeiting Traceability Services in a High-Quality Fresh Supply Chain of China
inferred← citeshttps://doi.org/10.3390/agriculture12091333openalex-snapshot
Survey on the Applications of Blockchain in Agriculture
inferred← citeshttps://doi.org/10.3390/app14104306openalex-snapshot
Balancing Data Acquisition Benefits and Ordering Costs for Predictive Supplier Selection and Order Allocation
inferred← citeshttps://doi.org/10.3390/blockchains1010004openalex-snapshot
Review of Blockchain Applications in Food Supply Chains
inferred← citeshttps://doi.org/10.3390/computers13030072openalex-snapshot
The Integration of the Internet of Things, Artificial Intelligence, and Blockchain Technology for Advancing the Wine Supply Chain
inferred← citeshttps://doi.org/10.3390/fi16050163openalex-snapshot
Blockchain-Based Zero-Trust Supply Chain Security Integrated with Deep Reinforcement Learning for Inventory Optimization
inferred← citeshttps://doi.org/10.3390/s26051685openalex-snapshot
Traceability and Anti-Counterfeiting in Agri-Food Supply Chains: A Review of RFID, IoT, Blockchain, and AI Technologies
inferred← citeshttps://doi.org/10.3390/su132112181openalex-snapshot
Digitalization and Future Agro-Food Supply Chain Management: A Literature-Based Implications
inferred← citeshttps://doi.org/10.3390/su14106192openalex-snapshot
Blockchain Technology in Operations & Supply Chain Management: A Content Analysis
inferred← citeshttps://doi.org/10.3390/su14127036openalex-snapshot
Blockchain Adoption to Secure the Food Industry: Opportunities and Challenges
inferred← citeshttps://doi.org/10.3390/su141912060openalex-snapshot
Mitigating Environmental Impact of Perishable Food Supply Chain by a Novel Configuration: Simulating Banana Supply Chain in Sri Lanka
inferred← citeshttps://doi.org/10.3390/su15032579openalex-snapshot
A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture
inferred← citeshttps://doi.org/10.3390/su15086844openalex-snapshot
Operationalizing Digitainability: Encouraging Mindfulness to Harness the Power of Digitalization for Sustainable Development
inferred← citeshttps://doi.org/10.3390/su15097305openalex-snapshot
A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices
inferred← citeshttps://doi.org/10.3390/systems11070350openalex-snapshot
Reinforcement Learning for Optimizing Can-Order Policy with the Rolling Horizon Method
inferred← citeshttps://doi.org/10.34133/research.0713openalex-snapshot
Advancements in Intelligent Sensing Technologies for Food Safety Detection
inferred← citeshttps://doi.org/10.4018/979-8-3373-9033-8.ch012openalex-snapshot
Biosurveillance of Food Systems
inferred← citeshttps://doi.org/10.4018/979-8-3693-8568-5.ch004openalex-snapshot
Agro-Food Traceability With Efficient User Interface Using Blockchain Technology
inferred← citeshttps://doi.org/10.47172/2965-730x.sdgsreview.v5.n02.pe05796openalex-snapshot
Assessing the Mediating Role of Recognizing and Overcoming Challenges in Using Iot and Analytics to Enhance Supply Chain Performance
inferred← citeshttps://doi.org/10.48175/ijarsct-14264openalex-snapshot
Secure and Efficient Crop Tracking in Agriculture using Block chain
inferred← citeshttps://doi.org/10.51594/estj.v5i3.905openalex-snapshot
ENSURING GLOBAL FOOD SAFETY: INTEGRATING BLOCKCHAIN TECHNOLOGY INTO FOOD SUPPLY CHAINS
inferred← citeshttps://doi.org/10.55670/fpll.futech.4.3.6openalex-snapshot
Breaking data silos in multi-tier suppliers and designing intelligent collaborative trust
inferred← citeshttps://doi.org/10.59899/ges-cono-79-c14openalex-snapshot
Capítulo 14: Aplicaciones y desafíos que enfrenta la industria Agroalimentaria para la adopción del Blockchain en la Cadena de Suministro: revisión de Literatura
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.