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IF 10.7 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Artificial Intelligence Review Pub Date : 2024-12-21 DOI:10.1007/s10462-024-11046-0

Amenu Leta Duguma, Xiuguang Bai

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引用次数: 0

摘要

在资源有限的情况下，要满足全球不断增长的粮食需求，就必须进行变革性的农业创新。物联网（IoT）成为现代农业的关键技术，为优化生产率和可持续性提供了数据驱动的解决方案。本综述重点探讨了物联网在农业中的变革作用，分析了物联网与大数据、实时监控和精准农业实践的整合。主要见解包括全球市场趋势、到 2030 年物联网在农业中的应用预测，以及塑造未来农业技术的物联网相关技术的进步。综述强调了物联网如何通过实现精确数据收集、自动化决策和优化资源利用来提高农业效率，同时解决互操作性、可扩展性、成本限制和监管障碍等运营挑战。通过整合新兴研究的证据，本研究倡导跨学科合作，以加深对物联网驱动的智能农业的理解和创新，并将其定位为实现全球粮食安全的基石。

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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How the internet of things technology improves agricultural efficiency

Meeting the rising global food demand among limited resources necessitates transformative agricultural innovations. The Internet of Things (IoT) emerges as a pivotal technology in modern agriculture, offering data-driven solutions to optimize productivity and sustainability. This review provides a focused exploration of IoT’s transformative role in agriculture, analyzing its integration with big data, real-time monitoring, and precision farming practices. Key insights include global market trends, projections for IoT adoption in agriculture by 2030, and advancements in IoT-related technologies shaping the future of agritech. The review underscores how IoT enhances agricultural efficiency by enabling precise data collection, automated decision-making, and optimized resource use, while addressing operational challenges such as interoperability, scalability, cost constraints, and regulatory hurdles. By consolidating evidence from emerging studies, this work advocates for interdisciplinary collaborations to deepen understanding and innovation in IoT-driven smart agriculture, positioning it as a cornerstone for achieving global food security.

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来源期刊

Artificial Intelligence Review 工程技术-计算机：人工智能

CiteScore

22.00

自引率

3.30%

发文量

194

审稿时长

5.3 months

期刊介绍： Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.