Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD

Utilization of WhatsApp Groups for Farmer Peer-Learning and Adoption of Improved Agricultural Practices Among Smallholder Farmers in Bayelsa State

Igoki, Weridongha Samuel

Abstract

This study assessed the utilisation of WhatsApp groups for farmer peer-learning and the adoption of improved agricultural practices among smallholder farmers in Bayelsa State, Nigeria. The study adopted a cross-sectional survey design using a mixed-methods approach. The population comprised smallholder farmers belonging to agricultural WhatsApp groups across the agricultural zones of Bayelsa State. A sample of 216 farmers was used for the quantitative analysis, while farmers, cooperative leaders, agricultural extension agents, and WhatsApp group administrators participated in the qualitative interviews. Data were collected using WhatsApp Group Utilisation, Farmer Peer-Learning and Improved Agricultural Practices Questionnaire (WGU-FPL-IAPQ) and a semi-structured interview guide. The questionnaire recorded an acceptable reliability coefficient. Quantitative data were analysed using mean, standard deviation, and Pearson Product-Moment Correlation, while qualitative data were analysed thematically. The findings showed that agricultural information was exchanged at a marginally high extent, particularly information on planting periods, improved planting materials, seasonal changes, weather, flooding, and water management. Farmer participation was low and mainly passive, as farmers read agricultural messages more frequently than they asked questions, responded to other farmers, or shared personal experiences. Farmer peer-learning was also low, although farmers discussed common production problems and encouraged one another to adopt improved practices. The overall adoption of improved agricultural practices was low, despite relatively higher adoption of flood-management, harvesting, storage, and post-harvest practices. Qualitative findings identified flooding, poor connectivity, high data costs, limited digital literacy, inadequate transportation, high input costs, lack of credit, and irregular extension-agent participation as major constraints. The analysis revealed a significant but weak positive relationship between WhatsApp peer-learning and the adoption of improved agricultural practices. The study concludes that while WhatsApp bridges physical extension gaps in difficult terrains, its potential is limited by passive participation. It is recommended that extension agencies and cooperative administrators introduce structured, interactive prompts and subsidized digital tools to transition farmers from passive readers to active peer-learners.

Keywords

WhatsApp groupspeer-learningagricultural informationtechnology adoptionsmallholder farmersBayelsa State.

References

Aker, J. C., & Ksoll, C. (2016). Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Food Policy, 60, 44–51. Allil, K., Faisal, M., Serri, S., Zia, M., & Adil, M. (2024). Why millennials continue to use WhatsApp? A focus on culture and computer–human dialogue. Human Behavior and Emerging Technologies, 2024, 8439194. Balaji, G., & Kavaskar, M. (2024). An analysis of farmer’s perception towards WhatsApp as a farm technology dissemination tool. Journal of Experimental Agriculture International, 46(9), 330–335. Coggins, S., McCampbell, M., Sharma, A., Sharma, R., Haefele, S. M., Karki, E. S., Hetherington, J., Smith, J., & Brown, B. (2022). How have smallholder farmers used digital extension tools? Developer and user voices from Sub-Saharan Africa, South Asia and Southeast Asia. Global Food Security, 32, 100577. Food and Agriculture Organization of the United Nations. (2019). Digital technologies in agriculture and rural areas: Status report. FAO. Food and Agriculture Organization of the United Nations. (2022). The state of food and agriculture 2022: Leveraging automation in agriculture for transforming agrifood systems. FAO. International Fund for Agricultural Development. (2021). Rural development report 2021: Transforming food systems for rural prosperity. IFAD. International Telecommunication Union. (2022). Status of digital agriculture in 47 sub-Saharan Africa countries. ITU. doi:10.1002/pub/81c20e5b-en International Telecommunication Union. (2023). Measuring digital development: Facts and figures 2023. ITU. Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90–91, Article 100315. McCampbell, M. (2022). Agricultural digitalization and automation in low- and middle-income countries: Evidence from ten case studies (FAO Agricultural Development Economics Technical Study No. 25). Food and Agriculture Organization of the United Nations. Okringbo, I. J., & Amaegberi, H. (2024). Effectiveness of agricultural technologies dissemination and adoption among rural farmers in Yenagoa Agricultural Zone, Bayelsa State, Nigeria. Agro-Science, 22(2), 78–82. Ologidi, P. O., & Amaegberi, H. (2024). Analysis of the socioeconomic implications of farmers associations’ initiatives on smallholder crop farmers in Bayelsa State, Nigeria. International Journal of Global Affairs, Research and Development, 2(1), 146–160. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80. World Bank. (2023, April 24). Agriculture and food: What we do. World Bank Group.

More Articles from INTERNATIONAL JOURNAL OF AGRICULTURAL AND EARTH SCIENCE

Assessment of Heavy Metal Concentrations and Textural Properties of Soils in The Southern Part of Kebbi State, Nigeria

Author: A. Hussaini1, M. A. Augie1, and Musa Audu, M. Ibrahim1. Zakari, S.I, ., I. Bala, and A.Y, Manga1.

Petrography of Rocks Around Rudibida Ganjuwa, Bauchi State, Part of Sheet 128 Se,

Author: B. Suleiman, A. I. Haruna, M. A. Hassan, A. A. Mai Kudi, A. I. Jibrin, I. I. Kariya, H., Y. Mohammed