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一种新型的基于区块链的新疆红枣供应链管理框架:考虑私有交易的优化区块链研究

A Novel Blockchain-Enabled Supply-Chain Management Framework for Xinjiang Jujube: Research on Optimized Blockchain Considering Private Transactions.

作者信息

Song Hao, Ge Wenfei, Gao Pan, Xu Wei

机构信息

College of Information Science and Technology, Shihezi University, Shihezi 832003, China.

College of Agriculture, Shihezi University, Shihezi 832003, China.

出版信息

Foods. 2023 Jan 30;12(3):587. doi: 10.3390/foods12030587.

DOI:10.3390/foods12030587
PMID:36766118
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9914081/
Abstract

Excellent jujube supply-chain management is of great significance to the development of the Xinjiang jujube industry. However, traditional jujube supply-chain management is faced with the dilemmas of opaque connection of transaction flow and capital flow information, unreliable product traceability information, and jujube farmers' lack of bargaining power. In this research, we propose a jujube supply-chain-management framework based on blockchain. Hyperledger fabric is the distributed solution platform of this research. The current blockchain-based traceability framework for agri-food emphasizes the construction process and ignores the performance and characteristics of the framework. This research optimizes the blockchain-network-topology architecture and storage cost of writing data. This not only solves the traceability of jujube, but also fills the gap in previous research on the traceability framework. Moreover, transactions are innovatively divided into common transactions and private transactions. Private transactions have enhanced the bargaining power of jujube farmers. Through the analysis of benchmark tests, the effectiveness and feasibility of the framework are verified.

摘要

优秀的红枣供应链管理对新疆红枣产业的发展具有重要意义。然而,传统红枣供应链管理面临着交易流和资金流信息衔接不透明、产品可追溯信息不可靠以及枣农缺乏议价能力等困境。在本研究中,我们提出了一种基于区块链的红枣供应链管理框架。超级账本织物是本研究的分布式解决方案平台。当前基于区块链的农产品可追溯框架强调构建过程,而忽略了框架的性能和特点。本研究优化了区块链网络拓扑架构和数据写入的存储成本。这不仅解决了红枣的可追溯性问题,还填补了以往关于可追溯框架研究的空白。此外,创新性地将交易分为普通交易和私密交易。私密交易增强了枣农的议价能力。通过基准测试分析,验证了该框架的有效性和可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/d58a5e07db24/foods-12-00587-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/d54a0a0775a0/foods-12-00587-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/f4c2ff923134/foods-12-00587-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/11b58d132dfb/foods-12-00587-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/6a98ae4f6864/foods-12-00587-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/a3e5e97cf362/foods-12-00587-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/c57f072026f7/foods-12-00587-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/d58a5e07db24/foods-12-00587-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/d54a0a0775a0/foods-12-00587-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/f4c2ff923134/foods-12-00587-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/11b58d132dfb/foods-12-00587-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/6a98ae4f6864/foods-12-00587-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/a3e5e97cf362/foods-12-00587-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/c57f072026f7/foods-12-00587-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d9/9914081/d58a5e07db24/foods-12-00587-g007.jpg

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本文引用的文献

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Traceability of Sustainability and Safety in Fishery Supply Chain Management Systems Using Radio Frequency Identification Technology.利用射频识别技术实现渔业供应链管理系统中可持续性与安全性的可追溯性
Foods. 2021 Sep 24;10(10):2265. doi: 10.3390/foods10102265.
2
Radio Frequency IDentification for Meat Supply-Chain Digitalisation.射频识别技术在肉类供应链数字化中的应用。
Sensors (Basel). 2020 Sep 1;20(17):4957. doi: 10.3390/s20174957.
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A Full Technological Traceability System for Extra Virgin Olive Oil.特级初榨橄榄油的完整技术可追溯系统。
Foods. 2020 May 13;9(5):624. doi: 10.3390/foods9050624.
4
Are the Innovative Electronic Labels for Extra Virgin Olive Oil Sustainable, Traceable, and Accepted by Consumers?特级初榨橄榄油的创新电子标签是否具有可持续性、可追溯性并为消费者所接受?
Foods. 2019 Oct 25;8(11):529. doi: 10.3390/foods8110529.