A Food Traceability System Based on Blockchain and Radio Frequency Identification Technologies

The frequent occurrence of food safety accidents at the global level has triggered consumer sensitivity. Establishing a food traceability system can effectively guarantee food safety and increase consumer confidence and satisfaction. Existing food traceability systems often ignore environmental factors that affect food quality at all stages of the supply chain, and the authenticity of the information obtained through traceability is difficult to guarantee. In this study, a food supply chain traceability model was established based on blockchain and radio frequency identification (RFID) technologies. The model focused on the traceability of environmental data during the various stages of the food supply chain and combined a centralized database and blockchain for data storage. The lot identification data of the various supply chain stages were stored in a centralized database, while the environmental data were stored in a blockchain. Thereby, the authenticity and accuracy of the traceability data were ensured. The blockchain part of the model has been simulated in the Ethereum test environment, and the experiment has achieved traceability of temperature data.

Traceability implementation in food supply chain: A grey-DEMATEL approach

Numerous incidents of food adulteration,fraudulence and foodborne disease outbreaks have shaken the consumer confidence towards the food they consume.These incidents compel the Food Supply Chain(FSC)partners to implement an appropriate traceability system in their respective supply chains to sustain the consumer confidence.The objective of this research is to identify the drivers(major factors)which play a significant role in the successful implementation of the traceability system in FSC and evaluate the causal relationships developing therein.Twelve drivers are identified towards implementation of the traceability system in FSC through literature review and supported with expert’s opinion.The grey-based DEMATEL approach is identified to evaluate these relationships among the drivers according to their net effect.Further,these drivers ranked based on the prominence and effect score.The finding of this research shows that the drivers are clustered into two groups namely:influential(cause)and influenced(effect)group.Four drivers belong to the influential group,and remaining eight are from the influenced group.The most influential driver is the “food safety and quality”which provide a significant effect on the implementation of a traceability system.This research can be a building block to develop a framework to implement the traceability system within FSC and assist the policymakers,and practitioners to identify and evaluate drivers related to the implementation of traceability system in FSC.This paper also provides a useful insight&support to the practitioners and managers in decision making for traceability implementation related issues。

Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis

Traceability systems are key to assuring food safety,creating a benefit for food supply chain components.Currently,the appearance of new technologies such as IoT and Big Data Analysis leads to a new generation of more functional,but complex,traceability systems.Organisational models based on cooperation of multiple small/medium size agents,for example of small/family farming cooperatives,play an important role in high standard agricultural production and commercialization processes.These function as both social and economic networks,with high social and economic impact in the rural areas.The case of Almeria as an example of this model was used to analyze its cooperative model.The actual traceability systems in the Almeria model were studied,taking account of the different networked agents and their interrelation.This study includes two main parts:a)analysis of the net-chains that constitute the food supply chains and their different relationships,and b)actual traceability.The next step studied how the net-chain model,including many diverse agents,may be applied to develop a new generation of traceability systems based of IoT and Big Data.This implies extending the special and functional scope of the actual systems and defining clear rules of exchange of the results of the Big Data Analysis,taking account of the adequate Privacy Rules.This work analyses the current organisation as a base for a new generation of traceability systems considered in the European project IoF2020(Internet of the Food and Farm 2020).Some parallels between Almeria’s model and certain areas in China,mainly in the areas of Beijing-Tianjin-Hebei and Shandong were detected.Another of the objectives of this work is to deepen the understanding of these similarities and analyze the possible adaptation of the results from Almeria to China.

A Food Traceability Framework Based on Permissioned Blockchain

In recent years,food safety problems have become increasingly serious.The traditional supply chain traceability solution faces some serious problems,such as centralization,data tampering,and high communication costs.To solve these problems,this paper proposes a food traceability framework based on permissioned blockchain.The proposed framework is decentralized,and the supply chain data of the framework cannot be tampered with.The framework divides supply chain entities into five organizations,and each organization deploys its own chaincode onto the blockchain.The chaincode specifies the query permission of each organization,which can effectively protect the user’s sensitive information.The PBFT consensus algorithm adopted by the framework improves the performance of processing transactions.The transactional throughput experiment shows that the proposed framework can achieve a high number of transactions per second.Query efficiency experiment demonstrates that the framework has lower query latency and good user experience.

Food safety inspection and the adoption of traceability in aquatic wholesale markets: A game-theoretic model and empirical evidence

Supply chain traceability is key to reduce food safety risks,since it allows problems to be traced to their sources. Moreover,it allows regulatory agencies to understand where risk is introduced into the supply chain,and offers a major disincentive for upstream agricultural businesses engaging in economically motivated adulteration. This paper focuses on the aquatic supply chain in China,and seeks to understand the adoption of traceability both through an analytical model,and empirical analysis based on data collected through an extensive (largest ever) field survey of Chinese aquatic wholesale markets. The field survey includes 76 managers and 753 vendors,covering all aquatic wholesale markets in Zhejiang and Hunan provinces. The analytical and empirical results suggest that the adoption of traceability among wholesale market vendors is significantly associated with inspection intensity,their individual history of food safety problems,and their risk awareness. The effect of inspection intensity on traceability adoption is stronger in markets which are privately owned than in markets with state/collective ownership. The analysis offers insights into the current state of traceability in China. More importantly,it suggests several hypothesized factors that might affect the adoption of traceability and could be leveraged by regulatory organizations to improve it.

Finite State Automaton for Food Traceability

To model the operation of food traceability, features of food supply chain are studied. The aim of the paper is to build an abstract model of food traceability, and to gain better understanding of food traceability and food safety. Based on the analysis of consumers＇ behavior of searching for traceability information, a finite state automaton for food traceability is presented by using automata theory. The states of the food supply chain are represented by a state transition diagram. The automaton in this paper simulates the entire food supply chain and provides a theoretical basis for the behavior description and structural design of a food traceability system.

基于区块链的农产品供应链溯源研究综述

中国的农产品供应链是一个多利益主体共同参与、多阶段多链路、动态可扩展网链的人机复合系统,使得基于区块链的农产品供应链溯源系统面临着链上信息泄露和溯源信息造假的管理实践挑战.本研究结合我国农产品供应链特点,从建设基于区块链的农产品供应链溯源系统的实际需求以及应用实践出发,对区块链技术及应用、区块链中的隐私保护与农产品信息安全、信任传递与融合方法这三个方面对国内外相关研究进行综述,并据此提出我国建设这类溯源系统的两个核心难题--“如何建”和“如何查”.针对这两个难题,从管理科学视角各提出四类关键科学问题,展望未来研究的发展趋势,并从应用实践层面提出基于区块链的农产品供应链溯源系统的发展建议.

基于区块链技术的农业食品溯源研究进展

随着全球食品安全问题日益严峻,加之供应链改革和食品召回相关工作耗资巨大且充满挑战,这使得建立农业食品溯源体系变得尤为重要,各国也越来越重视食品安全溯源体系建设。在智慧农业背景下,信息通信技术可通过区块链基础设施进一步完善,以实现新农场和数字农业,确保农产品从种植到销售的全链条安全可追溯。本文通过分析国内外最新研究,系统阐述了基于区块链技术的农业食品溯源研究进展。详细分析了农业食品供应链流程,提出了区块链在农业食品溯源领域的基本架构。归纳总结了当前区块链在农业食品溯源领域的应用研究,主要集中在与云边端计算、加密技术、存储优化、共识机制改进和智能合约设计的结合方面。本文还指出了农业食品溯源当前面临的数据安全、存储扩展、监管困难和实际应用等方面的挑战。最后,展望了区块链技术在农业食品溯源领域的未来发展方向,如加强安全监管、提高区块链可扩展性、利用新兴技术赋能食品溯源等,并强调了区块链技术在农业食品供应链中应用所面临的机遇与挑战。

RFID技术在食品智能包装和供应链追溯中的应用研究

目的介绍RFID技术,综述其在智能包装、食品供应链追溯的应用进展,以期为RFID技术的发展提供一定的理论基础。方法阐述RFID系统的组成、分类、工作原理及该技术的优点;分析RFID技术在监测食品包装内温度、湿度、pH、气体含量等参数的应用潜力;综述RFID技术在整个食品供应链(生产、加工、储运和销售环节)中的追溯进展;讨论目前RFID技术在实际应用中面临的问题和今后的发展方向。结论通过全面综述RFID技术在智能包装、食品溯源等方面的应用,表明RFID技术在食品领域具有广泛的应用前景,这对食品质量控制具有重要的意义。

基于区块链技术的食品可追溯供应链系统研究

建立食品可追溯供应链是解决食品安全问题的有效途径。由于传统的食品可追溯系统的运营成本高,导致一般企业不愿意参与。另外数据容易被篡改,以致消费者不愿接受转移到食品上的追溯系统应用成本造成的溢价。由此为提高追溯系统数据可靠度,需要在系统中融入天然具有不可篡改特点的区块链技术。文章从区块链技术与食品供应链可追溯系统的兼容性出发,理论分析出区块链技术的引入将降低食品供应链的交易成本、质量成本、时间成本、作业成本以及追溯的附加成本。通过对比区块链技术应用前后成本变化,探索基于区块链的食品供应链可追溯系统的成本控制机制,以促进食品供应链可追溯系统的发展。

食品供应链管理与食品追溯体系建设研究

随着食品供应链的日益复杂,食品安全问题也愈发突出,建设食品供应链管理和食品追溯体系就显得尤为重要。因此,本文深入探讨了食品供应链管理和食品追溯体系建设的关键问题,并提出相应的解决方案,以供参考。

电子商务在食品供应链及食品安全中的应用

本文探讨了电子商务在食品供应链和食品安全中的应用,重点阐述了电子商务在食品安全管理中的重要作用,特别是在提高食品安全监管效率和构建食品安全追溯系统方面的贡献。通过电子商务平台的透明化和信息化特点,食品安全得到了更有效的保障,同时也增强了消费者对食品的信任度。

基于食品安全的农产品供应链追溯系统研究综述

农产品质量安全问题越来越受到人们的广泛关注,供应链追溯系统能有效保障农产品安全,了解该领域的相关研究对提高我国农产品质量安全、推动农产品供应链协同发展具有重要意义。以农产品供应链追溯系统为综述对象,从农产品供应链追溯系统的概念、驱动因素、构成、关键技术进行梳理,对现有研究不足及未来主要研究方向进行总结,以期对相关领域的研究提供借鉴,并对实践者提供理论支持和决策依据。

应用区块链的食品供应链质量溯源决策研究

为明确应用区块链进行食品供应链质量溯源前后的成本变动情况,吸引食品供应链各方积极参与区块链质量溯源,本文引入成本变动系数和食品质量构建决策模型,探究食品供应链采用区块链进行质量溯源的条件和应用区块链使各方成本降低且利润提升的成本分摊阈值。研究表明,区块链技术应用能否为供应链各主体带来经济价值,取决于各主体单位成本投入、区块链成本分摊系数及投入成本等多重因素;只有区块链技术成本分摊系数达到一定临界条件时,才能使制造商和供应商的利润都得到提升,进而吸引二者积极参与区块链质量溯源。

基于区块链的可信主侧多链绿色食品追溯平台构建研究

区块链技术具有去中心化、不可篡改、可追溯等特性,将区块链技术应用于绿色食品追溯中,有助于解决信息不对称、不可信带来的绿色食品的质量安全问题。然而随着绿色食品供应链的网络化、复杂化发展,溯源信息越来越多,对于绿色食品的追溯平台提出了更高的要求。本文引入区块链侧链,构建可信的主侧多链绿色食品追溯平台,通过侧链对主链进行扩容,提高其存储能力,并使用布隆过滤器改进后的Bmerkle树,提高溯源的查询效率,最后以具体的绿色食品为例分析追溯平台的运行流程。可信主侧多链追溯平台的构建能够消除复杂供应链网络中的信息不对称,保障追溯信息的真实可信,进而增强消费者对绿色食品的消费信心;同时能够扩充单条链的存储能力、提高溯源查询效率,保障隐私数据的私密性,希望能够为区块链技术在追溯系统中的应用提供参考。

基于区块链技术的粮油食品溯源研究进展及展望

粮油食品供应链周期长、结构复杂、利益相关者众多,维护供应链的安全具有挑战性。近年来,特别是在粮食购销领域,存在“以陈顶新”、“转圈粮”、压级压价等现象,已严重威胁到粮食安全。追溯系统是一个能够对产品实施正向、反向和非定向跟踪的产品管理系统,可以连接粮油食品供应链的各个环节,监控原料采集、加工、储运、分销与销售过程,对粮食质量安全有重要保障。传统的追溯体系面临数据中心化、信息不透明、数据容易伪造、极易形成信息孤岛等问题。区块链作为继网络之后的下一代颠覆性技术,具备去中心化、分布式存储、匿名性、数据公开透明、内容不易篡改等新特点,为粮油食品供应链中的产品可追溯性问题带来新的解决方案。该文首先介绍近年来区块链智能合约、共识机制等关键技术的发展和应用,其次,阐述区块链技术应用到粮油食品溯源等领域的研究进展;最后,探讨当前粮油食品区块链溯源在存储、跨域与跨链、系统互操作性和可移植性等方面所面临的挑战,对区块链技术在粮油食品溯源领域中提高存储性能、跨域跨链、可扩展性等方面进行展望,为区块链技术在粮油食品中的创新应用提供参考。

区块链技术赋能食品供应链溯源综述分析

【目的/意义】食品供应链溯源过程中面临信息难以共享和互通、流程和标准不规范等诸多问题,区块链基于其本身技术特性为食品供应链溯源问题提供技术应用保障。【设计/方法】选用Web of Science和CNKI为文献选择样本,应用Citespace6.1R6软件分析区块链技术在食品供应链中的研究热点和发展趋势,并分别从解决传统溯源缺陷、溯源流程设计和绩效评估三个维度进行现有文献成果评述。【结论/发现】区块链技术应用于食品供应链的相关研究尚处于发展阶段,且集中在理论框架构建与案例探讨视角,缺乏对具体案例的实证检验和理论分析。

区块链技术在粮食安全方面的应用进展

随着计算机技术的应用与扩展,区块链技术在粮食安全方面的研究和应用也取得了丰硕成果.区块链具有可追溯、难篡改、透明度高、安全性强的技术特性,将区块链技术应用在粮食安全方面,不仅可以优化传统粮食产业供应链溯源体系,也为粮食质量安全监控和预警、信息安全管理提供技术支持.本文简要介绍了区块链技术,梳理了区块链技术在粮食安全方面的研究与应用进展,总结了区块链+物联网、区块链+大数据及区块链+人工智能等新兴互联网技术在粮食安全方面产生的积极作用,提出了区块链技术发展中的阻碍和未来发展趋势,希望能对区块链在粮食安全方面应用提供参考.

区块链溯源服务投入对生鲜供应链定价的影响

为研究生鲜供应链投资区块链溯源服务后如何定价才能获得更多收益,选取一个生鲜产品生产商和零售商组成的供应链为研究对象,考虑生鲜产品可追溯性和新鲜度的变化修正需求函数,并基于博弈理论,构建了四种收益模型。比较各模型下供应链的收益,提出应用价格折扣和收益共享契约实现采用区块链溯源服务后的供应链协调。结果表明:一定条件下,价格折扣和收益共享契约可以刺激生产商和零售商的投资积极性,实现供应链协调;区块链溯源服务水平对生产商和零售商的定价策略影响敏感度与收益共享系数有关;生产商和零售商的最优定价、最优收益和感知新鲜度信息可信度与区块链溯源服务水平密切相关。供应链决策者投资区块链溯源服务后,可以通过提升感知新鲜度信息可信度提高收益。

基于RFID和EPC物联网的水产品供应链可追溯平台开发

为实现对水产品流通过程的全程追溯,该文以供应链为视角,以罗非鱼为具体研究对象,立足消费者、企业和政府监管部门等三方,本着可跟踪、可追溯、可召回等基本目标,设计并开发了基于射频识别(radio frequency identification,RFID)和产品电子代码(electronic product code,EPC)物联网的,包含养殖管理系统、加工管理系统、配送管理系统、销售管理系统、查询监管系统5个子系统的水产品供应链可追溯平台,并着重对平台的对象名称服务(object name service,ONS)和EPC信息服务(electronic product code information service,EPCIS)进行了详细的设计与实现,利用该平台可以实现水产品从养殖、加工、配送到销售的全程跟踪与追溯。该研究可为水产品供应链可追溯系统模型与软件的开发提供参考。