Global Research Trends on AI and IoT in Precision Agriculture: A VOSviewer Analysis (2021–2024)

Hesti Wulansari, Desy Dwi Putri, Resky Nuralisa Gunawan

Abstract


The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has significantly transformed precision agriculture, offering data-driven solutions to improve productivity, sustainability, and resource efficiency. This study presents a bibliometric analysis of global research on AI and IoT in precision agriculture from 2021 to 2024, using data from the Dimensions database and visualized through VOSviewer. A total of 674 publications were analyzed, revealing five major thematic clusters: AgriTech Intelligence, AgriVision AI, SkyFarm, RootData, and GeoCrop. Results show a consistent growth in research output and increasing alignment with global sustainability goals, particularly Zero Hunger (SDG 2) and Clean Water and Sanitation (SDG 6). However, research remains geographically concentrated, with limited representation from developing regions. This study highlights critical research gaps and provides valuable insights for researchers seeking collaboration opportunities and emerging topics. For educational administrators and policymakers, the findings offer a strategic reference for curriculum development, investment in digital agricultural education, and informed policymaking to support equitable access to smart farming technologies across diverse socio-economic contexts. Future research should focus on expanding regional inclusion and evaluating the long-term impact of AIoT adoption in agriculture.

Keywords


Crop yield; Fertilizers; Irrigation; Machine-learning; Smart agriculture; Vegetation index

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References


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DOI: https://doi.org/10.21107/jsa.v3i1.30

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Journal of Science in Agrotechnology
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