Interoperable Traceability in Agrifood Supply Chains: Enhancing Transport Systems Through IoT Sensor Data, Blockchain, and DataSpace

块链 可追溯性 互操作性 供应链 物联网 计算机科学 业务 数据库 计算机安全 嵌入式系统 软件工程 万维网 营销
作者
Giovanni Farina,Alexander Kocian,Gianluca Brunori,Stefano Chessa,Maria Bonaria Lai,Daniele Nardi,Claudio Schifanella,Susanna Bonura,Nicola Masi,Sergio Comella,Fiorenzo Ambrosino,Angelo Mariano,Lucio Colizzi,Giovanna Maria Dimitri,Marco Gori,Franco Scarselli,Silvia Bonomi,Enrico Almici,Luca Antiga,Andrea Fiorentino
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:25 (11): 3419-3419
标识
DOI:10.3390/s25113419
摘要

Traceability plays a critical role in ensuring the quality, safety, and transparency of supply chains, where transportation stakeholders are fundamental to the efficient movement of goods. However, the diversity of actors involved poses significant challenges to achieving these goals. Each organization typically operates its own information system, tailored to manage internal data, but often lacks the ability to communicate effectively with external systems. Moreover, when data exchange between different systems is required, it becomes critical to maintain full control over the shared data and to manage access rights precisely. In this work, we propose the concept of interoperable traceability. We present a model that enables the seamless integration of data from sensors, IoT devices, data management platforms, and distributed ledger technologies (DLT) within a newly designed data space architecture. We also demonstrate a practical implementation of this concept by applying it to real-world scenarios in the agri-food sector, with direct implications for transportation systems and all stakeholders in a supply chain. Our demonstrator supports the secure exchange of traceability data between existing systems, providing stakeholders with a novel approach to managing and auditing data with increased transparency and efficiency.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
叛逆黑洞发布了新的文献求助10
刚刚
1秒前
1秒前
sugar发布了新的文献求助10
2秒前
研友_VZG7GZ应助fzx采纳,获得10
2秒前
echogj完成签到,获得积分10
2秒前
听话的盼秋完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
3秒前
liam发布了新的文献求助10
4秒前
嗨是完成签到,获得积分10
5秒前
棒棒晖发布了新的文献求助10
5秒前
咪嘛捏哞发布了新的文献求助20
5秒前
panpan发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
不入当归完成签到,获得积分10
6秒前
科目三应助小宇子采纳,获得10
6秒前
Ayn完成签到 ,获得积分10
7秒前
调皮又蓝完成签到,获得积分10
7秒前
lynn完成签到,获得积分10
7秒前
7秒前
7秒前
隐形曼青应助小巧的箴采纳,获得10
8秒前
xf发布了新的文献求助10
8秒前
琦琦完成签到,获得积分10
8秒前
Crash完成签到,获得积分10
8秒前
淡淡幻柏发布了新的文献求助10
8秒前
Copyright应助代dai采纳,获得10
9秒前
10秒前
丁丁当当发布了新的文献求助10
10秒前
陈zw完成签到,获得积分10
10秒前
海野海月发布了新的文献求助10
10秒前
杭紫雪发布了新的文献求助10
11秒前
11秒前
张张完成签到,获得积分10
11秒前
彭于晏应助琪琪采纳,获得10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254969
求助须知:如何正确求助?哪些是违规求助? 8876880
关于积分的说明 18744380
捐赠科研通 6935366
什么是DOI,文献DOI怎么找? 3200266
关于科研通互助平台的介绍 2374871
邀请新用户注册赠送积分活动 2175232