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The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies

136
Citations
June 6, 2025
Published Date

Research Abstract & Technology Focus

The integration of the Internet of Things (IoT) and artificial intelligence (AI) has reshaped modern agriculture by enabling precision farming, real-time monitoring, and data-driven decision-making. This systematic review, conducted in accordance with the PRISMA methodology, provides a comprehensive overview of recent advancements in smart sensing technologies for arable crops and grasslands. We analyzed the peer-reviewed literature published between 2020 and 2024, focusing on the adoption of IoT-based sensor networks and AI-driven analytics across various agricultural applications. The findings reveal a significant increase in research output, particularly in the use of optical, acoustic, electromagnetic, and soil sensors, alongside machine learning models such as SVMs, CNNs, and random forests for optimizing irrigation, fertilization, and pest management strategies. However, this review also identifies critical challenges, including high infrastructure costs, limited interoperability, connectivity constraints in rural areas, and ethical concerns regarding transparency and data privacy. To address these barriers, recent innovations have emphasized the potential of Edge AI for local inference, blockchain systems for decentralized data governance, and autonomous platforms for field-level automation. Moreover, policy interventions are needed to ensure fair data ownership, cybersecurity, and equitable access to smart farming tools, especially in developing regions. This review is the first to systematically examine AI-integrated sensing technologies with an exclusive focus on arable crops and grasslands, offering an in-depth synthesis of both technological progress and real-world implementation gaps.
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What is the core focus of the research titled 'The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies'?

This literature focuses on: The integration of the Internet of Things (IoT) and artificial intelligence (AI) has reshaped modern agriculture by enabling precision farming, real-time monitoring, and data-driven decision-making. This systematic review, conducted in accordance ...

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What other academic literature is closely related to 'The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies'?

Yes, highly correlated activity was mapped. An entry titled 'Smart Sensors and Smart Data for Precision Agriculture: A Review' discusses this: Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farmin...

Are there commercial applications of 'The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'Agricultural Technology' discusses this: Agricultural technology is driven by a global push for climate-smart farming and green production technologies, with governments actively seeking i...

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