REVIEW article
Front. Plant Sci.
Sec. Sustainable and Intelligent Phytoprotection
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1587869
This article is part of the Research TopicCutting-Edge Technologies Applications in Intelligent Phytoprotection: From Precision Weed and Pest Detection to Variable Fertilization TechnologiesView all 5 articles
Integration of Smart Sensors and IOT in Precision Agriculture: Trends, Challenges and Future Prospectives
Provisionally accepted
- 1Jeju National University, Jeju City, Republic of Korea
- 2University of Craiova, Craiova, Romania
- 3Rural Development Administration (South Korea), Jeonju, North Jeolla, Republic of Korea
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Traditional farming methods, effective for generations, struggle to meet rising global food demands due to limitations in productivity, efficiency, and sustainability amid climate change and resource scarcity. Precision agriculture presents a viable solution by optimizing resource use, enhancing efficiency, and fostering sustainable practices through data-driven decision-making supported by advanced sensors and Internet of Things (IoT) technologies. This review examines various smart sensors used in precision agriculture, including soil sensors for moisture, pH, and plant stress sensors etc. These sensors deliver real-time data that enables informed decisionmaking, facilitating targeted interventions like optimized irrigation, fertilization, and pest management. Additionally, the review highlights the transformative role of IoT in precision agriculture. The integration of sensor networks with IoT platforms allows for remote monitoring, data analysis via artificial intelligence (AI) and machine learning (ML), and automated control systems, enabling predictive analytics to address challenges such as disease outbreaks and yield forecasting. However, while precision agriculture offers significant benefits, it faces challenges including high initial investment costs, complexities in data management, needs for technical expertise, data security and privacy concerns, and issues with connectivity in remote agricultural areas. Addressing these technological and economic challenges is essential for maximizing the potential of precision agriculture in enhancing global food security and sustainability. Therefore, in this review we explore the latest trends, challenges, and opportunities associated with IoT enabled smart sensors in precision agriculture.
Keywords: precision agriculture, smart sensors, IoT, big data, Automation, Challenges
Received: 06 Mar 2025; Accepted: 11 Apr 2025.
Copyright: © 2025 Mansoor, Iqbal, Popescu, Kim, Chung and BAEK. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yong Suk Chung, Jeju National University, Jeju City, Republic of Korea
Jeongho BAEK, Rural Development Administration (South Korea), Jeonju, 54875, North Jeolla, Republic of Korea
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.