基于物联网的协调区块链系统促进农业技术创新

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2024-06-08 DOI:10.1049/cim2.12109
Igor Tasic, Maria-Dolores Cano
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引用次数: 0

摘要

农业技术利用先进技术提高农业生产的效率、可持续性和生产力。农业物联网(IoT)带来了传感器和联网技术,用于收集和分析环境与作物数据,从而实现精准农业,优化资源利用,提高产量。然而,目前的农业方法存在数据管理不安全和分散的问题,导致效率低下,并使整个供应链的可追溯性复杂化。将物联网与区块链技术相结合,被视为加强数据驱动型农业的一种前景广阔的解决方案。区块链提供了一个安全、分散和透明的分类账,可增强数据完整性、减少欺诈和提高可追溯性,与物联网应用相辅相成。作者详细介绍了创新系统的开发情况,该系统协调了物联网和区块链技术,促进了农业新技术的采用,克服了缺乏全面数据连接的问题。它概述了一个概念框架及其初步的经验实施。该系统由三个集成层组成:物联网层,用于创建田间作物的数字双胞胎;区块链层,用于保护和管理来自田间和外部利益相关者的数据,以实现跟踪和追踪等动态应用;协调层,用于融合物理和数字数据,以优化商业模式、提高供应链生产率并支持政府决策,从而提高田间生产率和粮食部门的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An orchestrated IoT-based blockchain system to foster innovation in agritech

Agritech uses advanced technologies to boost the efficiency, sustainability, and productivity of farming. The Internet of Things (IoT) in agriculture has brought sensors and networked technology to gather and analyse environmental and crop data, enabling precision farming that optimises resource usage and increases yields. Yet, current agricultural methods suffer from unsecured and decentralised data management, causing inefficiencies and complicating traceability across the supply chain. The integration of IoT with blockchain technology is seen as a promising solution to enhance data-driven agriculture. Blockchain provides a secure, decentralised, and transparent ledger that enhances data integrity, reduces fraud, and improves traceability, which complements IoT applications. The authors detail the development of an innovative system that orchestrates IoT and blockchain technologies to facilitate the adoption of new technologies in agriculture and overcomes the lacked of comprehensive data connectivity. It outlines a conceptual framework and its preliminary empirical implementation. The system consists of three integrated layers: the IoT layer, which creates digital twins of field crops; the blockchain layer, which secures and manages data from the field and external stakeholders for dynamic applications such as track and tracing; and the orchestration layer, which fuses physical and digital data to optimise business models, enhance supply chain productivity, and support governmental policy-making, thereby improving field productivity and food sector innovation.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
期刊最新文献
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