Thematic Evolution and Global Trends in IoT- and AI-Based Precision Agriculture
Journal of Smart and Sustainable Farming
Received On : 16 April 2025
Revised On : 30 July 2025
Accepted On : 14 August 2025
Published On : 26 August 2025
Volume 01, 2025
Pages : 140-149
Abstract
This systematic review examines the development, thematic emphasis, and international contributions of IoT- and AI-based precision agriculture studies between 2015 and 2024. Approximately 200 publications were obtained following a critical search in the Scopus, IEEE, ACM, ScienceDirect, and Google Scholar databases. Metadata, the type of publication, the source and the country affiliation of the authors were extracted and interpreted. Our quantitative synthesis showed growing trends in publication with IEEE and Scopus dominating as sources. Thematic analysis supplied 6 main clusters, namely, smart irrigation systems, soil and crop monitoring, predictive yield analytics, pest and disease detection, climate-smart agricultural practices, and data-driven decision support systems. India, China, Taiwan, and the USA became leading contributors, which demonstrates that the field captured a wide interest globally. The results reveal the increasing incorporation of sensor technologies and AI models in improving productivity, sustainability, and decision-making in agriculture.
Keywords
IoT, Artificial Intelligence, Precision Agriculture, Smart Irrigation, Predictive Yield Analytics, Sensor-Based Monitoring, Global Research Trends.
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Cite this Article
Syifa Rizki Amelia, “Thematic Evolution and Global Trends in IoT- and AI-Based Precision Agriculture”, Journal of Smart and Sustainable Farming, pp. 140-149, 2025, doi: 10.64026/JSSF/2025014.