协同物联网、人工智能和区块链实现智慧农业:挑战、机遇和未来方向

IF 7.6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Avni Rustemi , Fisnik Dalipi
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引用次数: 0

摘要

物联网(IoT)、区块链技术(BT)和人工智能(AI)的融合正在将农业转变为一个智能的、数据驱动的系统,旨在提高生产力、透明度和自动化程度。人口增长和有限的资源使得这些技术变得越来越重要,特别是在水、养分或肥沃土壤稀缺的地区。物联网通过传感器和边缘设备提供实时监控和物理数据收集,英国电信确保整个供应链的数据安全性、可追溯性和透明度,而人工智能实现预测分析和自动化决策,减少农民的直接干预。本系统的文献综述侧重于物联网在农业生态系统中的实施,其唯一目的是提高农业生产力和效率。此外,它还分析了物联网、人工智能和BT在农业中的相互作用,重点是可衡量的影响、通信协议的安全性、社会技术影响、自动化和决策等。尽管他们的承诺,集成面临着明显的障碍,如数据隐私、互操作性、实时处理和实现成本。使用PRISMA框架,从2019年至2025年期间发表的977篇初始论文中选择了35项研究。严格的质量评估提取了关于集成策略、技术限制和实际应用的见解。该报告强调了采用物联网、人工智能和电信技术促进可持续智慧农业的机遇和挑战。报告最后为研究人员、政策制定者、技术开发人员和从业人员提出了建议,以解决当前的差距,加强安全性和互操作性,并指导未来朝着有弹性和高效的农业系统发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synergizing IoT, AI, and blockchain for smart agriculture: Challenges, opportunities, and future directions
The integration of the Internet of Things (IoT), blockchain technology (BT), and Artificial Intelligence (AI) is transforming agriculture into a smart, data-driven system designed to enhance productivity, transparency, and automation. Population growth and limited resources make these technologies increasingly critical, especially in regions with scarce water, nutrients, or fertile soil. IoT provides real-time monitoring and physical data collection through sensors and edge devices, BT ensures data security, traceability, and transparency across supply chains, while AI enables predictive analytics and automated decision-making, reducing direct farmer intervention. This systematic literature review is focusing on the IoT implementations in the agriculture ecosystem, with the sole aim of increasing agricultural productivity and efficiency. Furthermore, it analyzes the interplay of IoT, AI, and BT in agriculture, with the emphasis on the measurable impacts, security of communication protocols, socio-technical implications, and automation and decision-making, among others. Despite their promise, integration faces notable barriers such as data privacy, interoperability, real-time processing, and implementation costs. Using the PRISMA framework, 35 studies were selected from an initial pool of 977 articles published between 2019 and 2025. A rigorous quality assessment extracted insights on integration strategies, technical limitations, and practical applications. The review highlights opportunities and challenges in adopting IoT, AI, and BT for sustainable smart agriculture. It concludes with recommendations for researchers, policymakers, technology developers, and practitioners to address current gaps, strengthen security and interoperability, and guide future advancements toward resilient and efficient agricultural systems.
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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