Perception of Socioeconomic Effect and Constraints of Artificial Intelligence (Agricultural Technology) Performance of Agricultural Extension Agent in Delta State, Nigeria

Authors

DOI:

https://doi.org/10.70882/josrar.2025.v2i1.28

Keywords:

Artificial Intelligence (AI), Agricultural Extension Agents, Socioeconomic Effects, Agricultural Technology, Digital Infrastructure

Abstract

Artificial intelligence (AI) is taking over the different strata of life and industries, such as agriculture, to higher levels of productivity, efficiency, and decision-making with the use of smart technologies. This study evaluated the perceived socioeconomic impacts and challenges of AI on the productivity of agricultural extension agents in Delta State, Nigeria. The data was collected from 51 respondents through use of stratified random sampling technique and analyzed using descriptive statistics. The findings indicated that the majority of the extension agents saw AI as having both economic benefits and limitations. Perceived economic impacts formed the largest means of 2.89 where the respondents were most concerned with affordability with a mean of 3.14 and the redundancies that are expected to be witnessed with a mean of 2.55. Perceived barriers to AI integration mainly concerned restricted access to the internet (mean = 3.14) and lack of technical skills (mean = 3.12) with a grand mean of 2.86. From the study, it suggested that infrastructure, technical training, and policy intervention should be put in place to support AI usage in agricultural extension services. 

References

Aliyu, M.K., Owigho, O., Faruk, A.U, Adamu, M.E., & Musa, J. (2024). Promoting Digital Advisory Services for Smallholder Farmers in Nigeria: Prospects, Challenges and Way forward. The Nigerian Journal of Agricultural Extension. 24(1), 34 - 43

Chetsumon, S. (2005). Attitudes of extension agents towards expert systems as decision support tools in Thailand (Doctoral dissertation, Lincoln University). Available at: https://researcharchive.lincoln.ac.nz/entities/publication/23c4cc25-776c-4930-a997-2509d433923b

Deji, O. F., Alabi, D. L., Famakinwa, M., & Faniyi, E. O. (2023). Utilisation of Artificial Intelligence-based Technology for Agricultural Extension Services among Extension Professionals in Nigeria. Journal of Agricultural Extension, 27(3), 81-90. https://doi.org/10.4314/jae.v27i3.9

Ekperi, E.E., Owigho, O., & Ovwigho, B.O. (2024). Socio-cultural Effects of Artificial Intelligence in Agriculture by Farmers, Extension Agents and Lecturers in Delta State, Nigeria. FUDMA Journal of Agriculture and Agricultural Technology, 10 (3), 10-18. https://doi.org/10.33003/jaat.2024.1003.02

Evwierhurhoma, F.E., Owigho, O., Akeni, T. E., Eromedoghene, Onwumere-Idolor, O.S., & Ofuoku, A.U. (2024). The Role of Artificial Intelligence and Machine Learning in Optimizing Agricultural Extension Decision Support Systems in Delta State, Nigeria. Confluence journal of Environmental Studies 19 (1), 1-9. Available at: https://www.researchgate.net/publication/385549366 .

Ezekiel, O. B., & Akinyemi, A. L. (2022). Utilisation of artificial intelligence in education: the perception of university of Ibadan Lecturers. Journal of Global Research in Education and Social Science, 16(5), 32-40. https://doi.org/10.56557/JOGRESS/2022/v16i58053

Ifeanyi-obi, C. C., & Ibiso, H. D. (2020). Extension Agents perception of open data usage in agricultural communication in Abia State. Journal of Agricultural Extension, 24(4), 91-99. https://doi.org/10.4314/jae.v24i4.10

Meher, V. (2023). Artificial intelligence as perceived by university teachers: an analysis in the light of demographic variables. The Online Journal of Distance Education and e-Learning, 11(3). Available at: https://www.tojsat.net/journals/tojdel/articles/v11i03/v11i03-02.pdf

Mishra, M. K., Shrivastava, N., and Singh, S. (2017). Dimensions of expert system in relation to strengthnening of decision support system among farmers and extension professionals. Vindhya Bharti. 11, 1-9. Available at: https://www.apsurewa.ac.in/files/561/vb2020.pdf#page=21

Oluwadiya, K. S., Adeoti, A. O., Agodirin, S. O., Nottidge, T. E., Usman, M. I., Gali, M. B., ... and Zakari, L. Y. U. (2023). Exploring Artificial Intelligence in the Nigerian Medical Educational Space: An Online Cross-sectional Study of Perceptions, Risks and Benefits among Students and Lecturers from Ten Universities. Nigerian Postgraduate Medical Journal, 30(4), 285-292. https://doi.org/10.4103/npmj.npmj_186_23

Owigho, O & Eromedoghene, E.O. (2021). Issues in Rural Development and Management Theories: A Review. International Journal of Innovative Agriculture & Biology Research. 6(1), 354 – 361. Available at: https://www.researchgate.net/profile/Ogheneovo-Owigho/publication/369370512_Issues_in_Rural_Development_and_Management_Theories_A_Review/links/64182885315dfb4cce957a5f/Issues-in-Rural-Development-and-Management-Theories-A-Review.pdf

Rani, P. M. N., Rajesh, T., & Saravanan, R. (2011). Expert systems in agriculture: A review. Journal of Computer Science and Applications, 3(1), 59-71. Available at: https://saravananraj.in/wp-content/uploads/2020/04/21_Expert-systems_Agriculture.pdf

Sibuea, F. A., Sibuea, M. B., & Harahap, G. (2023). Eksistensi Penyuluh Pertanian Dan Tingkat Adopsi Teknologi Dalam Peningkatan Produktivitas Padi Sawah di Kabupaten Deli Serdang. JASc (Journal of Agribusiness Sciences), 7(2), 175-188. https://doi.org/10.30596/jasc.v7i2.16475

Sugihono, C., Juniarti, H. A., and Nugroho, N. C. (2022). Digital Transformation in The Agriculture Sector: Exploring the Shifting Role of Extension Workers. STI Policy and Management Journal, 7(2), 139-159. https://doi.org/10.14203/STIPM.2022.350

Tian, X., Xu, P., Liu, X., & Xu, X. (2023). The impact of digital information treatment on the evaluation of service performance of agricultural extension agents. Information Development, 02666669231173003. https://doi.org/10.1177/02666669231173003

Yeh, S. C., Wu, A. W., Yu, H. C., Wu, H. C., Kuo, Y. P., & Chen, P. X. (2021). Public perception of artificial intelligence and its connections to the sustainable development goals. Sustainability, 13(16), 9165. https://doi.org/10.3390/su13169165

Downloads

Published

2025-01-27

How to Cite

Ekperi, E. E., Owigho, O., Akeni, T. E. ., & Ovwigho, B. O. (2025). Perception of Socioeconomic Effect and Constraints of Artificial Intelligence (Agricultural Technology) Performance of Agricultural Extension Agent in Delta State, Nigeria. Journal of Science Research and Reviews, 2(1), 37-44. https://doi.org/10.70882/josrar.2025.v2i1.28