Effect of Smart Training on the Dissemination of Agricultural Innovations Among Extension Workers in Ondo State
DOI:
https://doi.org/10.59890/ijist.v4i4.314Keywords:
Smart, Training. Information, Dissemination, Digital Tools.Abstract
The study examined the effect of SMART training on the dissemination of agricultural innovations among extension workers in Ondo State. Four objectives guided the study. Data were collected using well-structured questionnaires and administered to extension workers. Data were analyzed using both descriptive (percentages, frequency counts, mean, standard deviation) and inferential statistics (Linear regression). Findings from the study revealed that extension workers in Ondo State were nearly gender-balanced (51.9% male, 48.1% female) and predominantly middle-aged (x̄= 49 years) with MSc as the highest educational attainment (61.1%). Most (88.9%) of the respondents were married and experienced (x̄ = 17 years), with moderate household size (mean = 8) and income (₦213,703) as serve as Village Extension Agents (79.6%). SMART training needs were highest for Remote Sensing (x̄ = 2.69) and Drone Technology (x̄= 2.50). Key constraints included funding, digital literacy, infrastructure, and cultural resistance. It was recommended that government and developmental agencies should allocate more financial resources to support SMART agricultural training programs, digital tools, and operational needs of extension workers. There should be deliberate investment in rural infrastructure, especially reliable electricity and internet connectivity, to enable the practical application of digital extension technologies.
References
Adejo, P. E., & Haruna, U. (2019). Information and communication technologies (ICTs) and agricultural extension service delivery in Nigeria: Challenges and prospects. Journal of Agricultural Extension, 23(4), 14–25.
Adebayo, K., & Akintunde, T. (2021). Capacity building in agricultural extension services. Journal of Agricultural Development, 18(2), 45–59.
Adisa, R. S., Olayemi, J. K., & Adekunle, A. A. (2023). Digital extension interventions and innovation diffusion among smallholder farmers in Nigeria. African Journal of Agricultural Research, 19(5), 271–283.
Agwu, A. E., & Chah, J. M. (2021). Constraints to effective use of information and communication technologies (ICTs) among agricultural extension workers in Nigeria. Journal of Agricultural Extension, 25(1), 112–124.
Basso, B., & Antle, J. (2020). Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 3(4), 254–256.
Baumüller, H. (2021). The role of digital technologies in agricultural innovation systems. Technology in Society, 65, 101592.
Bechar, A., & Vigneault, C. (2021). Agricultural robots for field operations: Concepts and potentials. Biosystems Engineering, 204, 101–120. https://doi.org/10.1016/j.biosystemseng.2021.01.015
Davis, K., & Sulaiman, R. (2023). Strengthening agricultural extension and advisory systems for sustainable development. FAO Policy Briefs. Food and Agriculture Organization of the United Nations (FAO).
Davis, K., Swanson, B., Amudavi, D., & Franzel, S. (2021). Extension worker training for improved rural livelihoods. Journal of Extension Systems, 37(1), 1–15.
Food and Agriculture Organization of the United Nations (FAO). (2020). The state of food and agriculture 2020: Overcoming water challenges in agriculture. FAO.
Food and Agriculture Organization of the United Nations (FAO). (2022). Digital agriculture: Building capacities for the future. FAO.
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2019). A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture, 143, 23–37.
Klerkx, L., Begemann, S., & Schut, M. (2023). Digital agricultural extension: Prospects and challenges in developing countries. Agricultural Systems, 207, 103614.
Klerkx, L., Rose, D. C., & Struik, P. C. (2022). Innovation support for the digital transformation of agriculture: Empirical evidence and research agenda. Agricultural Systems, 200, 103426.
Kodali, R. K., Jain, V., & Karagwal, S. (2022). IoT-based smart irrigation systems for precision farming. Journal of Ambient Intelligence and Humanized Computing, 13(2), 987–999.
Mohanty, S. P., Hughes, D. P., & Salathé, M. (2016). Using deep learning for image-based plant disease detection. Frontiers in Plant Science, 7, 1419. https://doi.org/10.3389/fpls.2016.01419
Ogunlade, I., & Adebayo, K. (2020). Educational attainment and adoption of improved agricultural innovations among extension personnel in Nigeria. Journal of Agricultural Extension and Rural Development, 12(6), 105–113.
Okoro, J. K., Akinbile, L. A., & Olayemi, J. (2020). Effect of digital agricultural training on innovation dissemination among extension agents in Nigeria. Nigerian Journal of Rural Extension and Development,
34(2), 59–68.
Pierce, F. J., & Nowak, P. (2019). Aspects of precision agriculture. Advances in Agronomy, 162, 63–83. https://doi.org/10.1016/bs.agron.2019.01.001
Ragasa, C., Mzungu, F., & Kalagho, K. (2022). Digital agricultural extension: Opportunities and constraints in sub-Saharan Africa. Journal of Rural Studies, 89, 12–25. https://doi.org/10.1016/j.jrurstud.2021.11.004
Rivera, W. M., & Qamar, M. K. (2021). Agricultural extension, rural development and the food security challenge. FAO Research and Extension Systems Division.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Suvedi, M., Ghimire, R., & Millen, D. (2020). What works, what doesn’t, and why in agricultural extension? Reflections from Nepal. Journal of International Agricultural and Extension Education, 27(3), 39–55. https://doi.org/10.5191/jiaee.2020.27339
Swanson, B., Rajalahti, R., & Meinzen-Dick, R. (2023). Rethinking agricultural extension in an era of transformation. Development in Practice, 33(5), 721–735.
Tilman, D., & Clark, M. (2022). Global diets link environmental sustainability and human health. Nature, 605(7908), 500–508.
Walter, A., Huber, R., & Buchmann, N. (2021). Smart farming is key to developing sustainable agriculture. Proceedings of the National Academy of Sciences, 118(10), e2021726118.
World Bank. (2022). Digital agriculture and rural transformation in Africa: Enabling policies and infrastructure. World Bank Publications.
Yigezu, Y. A., El-Shater, T., Boughlala, M., Bishaw, Z., & Niane, A. (2020). Empowering extension systems for smart agriculture in Africa. Agricultural Extension and Advisory Services Journal, 7(3), 211–225.
Zarco-Tejada, P. J., Camino, C., & González-Dugo, V. (2023). Remote sensing for precision agriculture: Monitoring crop health and yield. Remote Sensing of Environment, 288, 113543. https://doi.org/10.1016/j.rse.2023.113543
Zhang, W., Li, Y., & Li, X. (2020). The impact of agricultural extension services on the adoption of sustainable agricultural practices in China. Sustainability, 12(4), 1053. https://doi.org/10.3390/su12041053
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