ArticleFoods (Basel, Switzerland)2022
Research on the Cross-Chain Model of Rice Supply Chain Supervision Based on Parallel Blockchain and Smart Contracts.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A dual-contract architecture with role-based access control for supply chain traceability and accountability.Scientific reports · 2025Article
- A Review on Blockchain Applications in Operational Technology for Food and Agriculture Critical Infrastructure.Foods (Basel, Switzerland) · 2025Review
- Toward parallel intelligence: An interdisciplinary solution for complex systems.Innovation (Cambridge (Mass.)) · 2023Review
- Integrated Governance Mechanisms for Empowerment and Resilience in International Food Value Chains.Foods (Basel, Switzerland) · 2023Article
- Research on the Construction of Grain Food Multi-Chain Blockchain Based on Zero-Knowledge Proof.Foods (Basel, Switzerland) · 2023Article
- Food manufacturer willingness to employ blockchain technology system under the social Co-governance framework: China's situation.Current research in food science · 2023Article
- Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance.Sensors (Basel, Switzerland) · 2022Article
- A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain.Foods (Basel, Switzerland) · 2022Article
- Blockchain-Enabled Supply Chain platform for Indian Dairy Industry: Safety and Traceability.Foods (Basel, Switzerland) · 2022Article
- Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges.Foods (Basel, Switzerland) · 2022Review
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Authors and funding
7 authors.
Funding
Abstract
Rice is one of the three major staple foods in the world, and the quality and safety of rice are related to the development of human beings. The new crown epidemic, pesticide residues, insect pests, and heavy metal pollution have a certain security impact on the food supply chain. The rice supply chain is characterized by a long life cycle; complex roles in the main links; many types of hazards; and multidimensional, multisource, and heterogeneous information. To strengthen the rice supply chain's supervision ability under the epidemic situation, a supervision cross-chain model suitable for the complicated data of the rice supply chain based on parallel blockchain theory and smart contract technology was built. Firstly, the data collected in the rice supply chain and different types of data stored in different parallel blockchains were analyzed. Secondly, based on data analysis, a collection/supervision cross-chain mechanism based on "hash lock + smart contract + relay chain", a concurrency mechanism based on the K-means algorithm and a Bloom filter, and a consensus mechanism suitable for multichain consensus named the Supervision Practical Byzantine Fault Tolerance (SPBFT) were proposed. Furthermore, a cross-chain model of rice supply chain supervision was constructed. Finally, theoretical verification and simulation experiments were used to analyze the operation process, safety, cross-chain efficiency, and scalability of the model. The results showed that the application of parallel blockchains and smart contracts to supervision of rice supply chain information improved the convenience and security of information interaction between various links in the rice supply chain, the storage cost of supply chain data and the high latency of interaction was reduced, and the refined management of the rice supply chain data and personnel was realized. This research applied new information technology to the coordination and resource sharing of the food supply chain, and provides ideas for the digital transformation of the food industry.
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Registered trials
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