Mapping the Research Landscape of Agricultural Extension, Sustainability, and Development: A Bibliometric Analysis

Agricultural extension plays a central role in sustainable agriculture, rural development, and climate resilience. As extension systems increasingly integrate environmental management, digital technologies, and participatory approaches, a systematic understanding of the field’s research structure is needed. This study maps the global research landscape of agricultural extension, sustainability, and development using bibliometric analysis of 5,514 Scopus-indexed English-language publications. Keyword co-occurrence, country co-authorship, and overlay analyses were conducted using VOSviewer. Agriculture and agricultural extension emerged as central themes linked with sustainable development, ecosystem services, climate resilience, soil health, and organic farming. More recent themes included artificial intelligence, digital agriculture, biotechnology, nanotechnology, and remote sensing, indicating a shift toward technology-enabled extension and agricultural innovation. Country collaboration patterns showed strong contributions from the United States and China, with increasing participation from India, Brazil, Indonesia, Pakistan, Kenya, and the Philippines. Overall, the field is becoming more multidisciplinary, collaborative, sustainability-oriented, and digitally enabled. The study identifies future priorities in digital extension, climate adaptation, and inclusive agricultural innovation systems while providing a clearer and more reproducible description of the bibliometric corpus and analytical approach.

Agricultural Extension, Sustainable Development, Bibliometric Analysis

1. Aker, J. C. (2011). Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42(6), 631–647. https://doi.org/10.1111/j.1574-0862.2011.00545.x [Google Scholar] [Crossref]

2. Altieri, M. A., & Nicholls, C. I. (2017). The adaptation and mitigation potential of traditional agriculture in a changing climate. Climatic Change, 140(1), 33–45. https://doi.org/10.1007/s10584-013-0909-y [Google Scholar] [Crossref]

3. Anderson, J. R., & Feder, G. (2007). Agricultural extension. In R. E. Evenson & P. Pingali (Eds.), Handbook of agricultural economics (Vol. 3, pp. 2343–2378). Elsevier. https://doi.org/10.1016/S1574-0072(06)03044-1 [Google Scholar] [Crossref]

4. Birner, R., Davis, K., Pender, J., Nkonya, E., Anandajayasekeram, P., Ekboir, J., Mbabu, A., Spielman, D., Horna, D., & Benin, S. (2009). From best practice to best fit: A framework for designing and analyzing pluralistic agricultural advisory services worldwide. The Journal of Agricultural Education and Extension, 15(4), 341–355. https://doi.org/10.1080/13892240903309595 [Google Scholar] [Crossref]

5. Davis, K., Babu, S. C., & Blom, S. (2012). Agricultural extension: Global status and performance in selected countries. International Food Policy Research Institute. [Google Scholar] [Crossref]

6. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070 [Google Scholar] [Crossref]

7. FAO. (2014). The state of food and agriculture: Innovation in family farming. Food and Agriculture Organization of the United Nations. [Google Scholar] [Crossref]

8. Klerkx, L., Van Mierlo, B., & Leeuwis, C. (2012). Evolution of systems approaches to agricultural innovation: Concepts, analysis and interventions. In I. Darnhofer, D. Gibbon, & B. Dedieu (Eds.), Farming systems research into the 21st century: The new dynamic (pp. 457–483). Springer. https://doi.org/10.1007/978-94-007-4503-2_20 [Google Scholar] [Crossref]

9. Leeuwis, C., & Van den Ban, A. (2004). Communication for rural innovation: Rethinking agricultural extension (3rd ed.). Blackwell Science. [Google Scholar] [Crossref]

10. Mukherjee, S., Padaria, R. N., Burman, R. R., Velayudhan, P. K., Mahra, G. S., Aditya, K., Sahu, S., Saini, S., Mallick, S., Quader, S. W., Shravani, K., Ghosh, B., & Bhat, A. G. (2025). Global trends in ICT-based extension and advisory services in agriculture: A bibliometric analysis. Frontiers in Sustainable Food Systems, 9, 1430336. https://doi.org/10.3389/fsufs.2025.1430336 [Google Scholar] [Crossref]

11. Pretty, J. (2008). Agricultural sustainability: Concepts, principles and evidence. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1491), 447–465. https://doi.org/10.1098/rstb.2007.2163 [Google Scholar] [Crossref]

12. Rivera, W. M., & Sulaiman, R. V. (2009). Extension: Object of reform, engine for innovation. Outlook on Agriculture, 38(3), 267–273. https://doi.org/10.5367/000000009789396810 [Google Scholar] [Crossref]

13. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [Google Scholar] [Crossref]

14. Spielman, D. J., Ekboir, J., & Davis, K. (2009). The art and science of innovation systems inquiry: Applications to Sub-Saharan African agriculture. Technology in Society, 31(4), 399–405. https://doi.org/10.1016/j.techsoc.2009.10.004 [Google Scholar] [Crossref]

15. Vanlauwe, B., Coyne, D., Gockowski, J., Hauser, S., Huising, J., Masso, C., Nziguheba, G., Schut, M., & Van Asten, P. (2014). Sustainable intensification and the African smallholder farmer. Current Opinion in Environmental Sustainability, 8, 15–22. https://doi.org/10.1016/j.cosust.2014.06.001 [Google Scholar] [Crossref]

16. Wagner, C. S., Whetsell, T. A., & Mukherjee, S. (2015). International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination. Research Policy, 44(7), 1458–1469. https://doi.org/10.1016/j.respol.2015.03.002 [Google Scholar] [Crossref]

17. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023 [Google Scholar] [Crossref]

18. Xu, J., Li, Y., Zhang, M., & Zhang, S. (2024). Sustainable agriculture in the digital era: Past, present, and future trends by bibliometric analysis. Heliyon, 10(14), e34612. https://doi.org/10.1016/j.heliyon.2024.e34612 [Google Scholar] [Crossref]

19. Zhao, J., Ramli, N. N., Nawi, N. M., Wong, K. K. S., & Sharifuddin, J. (2025). Bridging the gap between natural and social sciences: A bibliometric review of climate-smart agriculture—challenges and opportunities. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-025-06782-4 [Google Scholar] [Crossref]

• Breeding for a Greener Future: Selective Breeding and Crossbreeding Approaches to Minimize Methane Emissions in Ruminant Livestock
• Determinants of Adoption of Post-Harvest Losses Prevention Techniques among Banana/Plantain Marketers in Lagos State, Nigeria
• Enhancing Rice Yield Prediction Using UAV-Based Multispectral Imaging and Machine Learning Algorithms
• Seed-Borne Fungi of Groundnuts (Arachis Hypogaea) and Their Management with Ginger (Zingiber Officinale) Extract In Makurdi, Nigeria
• The Influence of Landforms and Slope on Agricultural Cropping Patterns in Chhatrapati Sambhajinagar District