Bibliometric Analysis of the Role of Artificial Intelligence in Enhancing Agricultural Extension Services

SANJU SAHA; Anita Patra; M. Devender  Reddy; Ajay Kumar Prusty

doi:10.48165/IJEE.2026.62305

Authors

Sanju Saha CENTURION UNIVERSITY OF TECHNOLOGY AND MANAGEMENT
Anita Patra CENTURION UNIVERSITY OF TECHNOLOGY AND MANAGEMENT https://orcid.org/0000-0003-1174-1755
M. Devender Reddy Dr D Rama Naidu Vignana Jyothi Institute of Rural Development https://orcid.org/0000-0003-4263-3845
Ajay Kumar Prusty CENTURION UNIVERSITY OF TECHNOLOGY AND MANAGEMENT https://orcid.org/0000-0003-3670-802X

https://doi.org/10.48165/IJEE.2026.62305

Keywords:

Artificial Intelligence, Extension Service, Sustainable Agriculture, Internet of Things, Machine Learning

Abstract

Agricultural extension services are still crucial to rural development and global food security; traditional methods frequently have issues with scalability, cost, and farmer-specific customisation. Artificial intelligence (AI) offers a new solution to overcome these issues by offering predictive, data-driven, and context-specific advisory systems. 337 papers on AI in agricultural extension that were indexed in Scopus between 2010 and 2025 were examined in this study using bibliometric analysis. Biblioshiny and VOS viewer were used in the analysis to map authorship patterns, country-level contributions, publishing trends, and theme clusters. It is evident that the research activity grew after 2016 and reached a peak in 2022 at an annual growth rate of 2.33%. The area is extremely collaborative and interdisciplinary, with the United States, China, and India providing the most work globally, with an average of 11.5 co-authors per manuscript. Keyword and thematic analysis show that more advanced applications like machine learning, deep learning, IoT, and agricultural robotics have replaced earlier efforts on digital infrastructure. The results indicate that hybrid systems, in which AI supplements human knowledge to provide inclusive, moral, and sustainable advisory services, will be the most successful extension models in the future.

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