A Web-Based Mobile System for Promoting Agribusiness in Northern Nigeria

This research aimed at developing a web-based mobile system and figuring out a better understanding of how could “web-based mobile system supports farmers in Kebbi State”. Thus, by finding out the answers to the research questions, a conceptual framework of the entire system was implemented using Unified Modelling Language (UML). The work involved a review of existing research on web-based mobile technology for farmers in some countries and other geographical areas within Nigeria. This research explored how farmers in Northern Nigeria, especially in Kebbi state, make use of the web-based mobile system for agribusiness. Also, the benefits of using web-based mobile systems and the challenges farmers face using such systems were examined. Considering the dynamic nature of theory of information and communication technology; this research employed survey and focus group discussion (FGD) methods. Stratified, random, purposive, and convenience sampling techniques were adopted to select the sample. A questionnaire and FGD guide were used to collect data. The survey finds that most of the Kebbi state farms use their alternative medium to get relevant information for their agribusiness. Also, the research reveals that using a web-based mobile system can benefit farmers significantly. Finally, the study has successfully developed and implemented the proposed system using mobile technology in addition to the framework design.





References:
[1] Nigeria National Bureau of Statistics. (2017). Annual Abstract of Statistics 2016. Nigeria National Bureau of Statistics, 1(July). http://www.nigerianstat.gov.ng/pdfuploads/ANNUALABSTRACT STATISTICS VOLUME-1.pdf
[2] Asked, F., On, Q., Nigerian, T. H. E., & Standards, L. (2020). Nlss 2018/19 1. October 2019, 1–7.
[3] Workshop, A. (2020). Current State of Nigeria Agriculture and Agribusiness Sector. September.
[4] Mansingh, P., & Abdese, F. (2016). Impact of Mobile Phone Technology on Agriculture and rural development: an analysis. International Journal of Current Research, 8(05), 31311–31317. http://www.journalcra.com/sites/default/files/14790.pdf
[5] Kimura, M. (2020). Introduction to Population Genetics. August, 85–101. https://doi.org/10.1007/978-981-15-6165-8_6
[6] Tinuke, B. B., & Joseph, A. A. (2018). The Impact of Anchor Borrower Programme on Poverty Alleviation in Argungu Local Government Area of Kebbi State. Journal of Public Administration and Governance, 8(4), 239. https://doi.org/10.5296/jpag.v8i4.14049
[7] Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1. https://doi.org/10.11648/j.ajtas.20160501.11
[8] Singhal, R., & Rana, R. (2015). Chi-square test and its application in hypothesis testing. Journal of the Practice of Cardiovascular Sciences, 1(1), 69. https://doi.org/10.4103/2395-5414.157577
[9] Singhal, R., & Rana, R. (2015). Chi-square test and its application in hypothesis testing. Journal of the Practice of Cardiovascular Sciences, 1(1), 69. https://doi.org/10.4103/2395-5414.157577
[10] Anjum, R. (2015). Design of mobile phone services to support farmers in developing countries. Master Thesis, December, 2–72.
[11] Chhachhar, A. R., Chen, C., & Jin, J. (2016). Mobile phone impact on agriculture and price information among farmers. Indian Journal of Science and Technology, 9(39). https://doi.org/10.17485/ijst/2016/v9i39/98432
[12] Kassem, H. S., Shabana, R. M., Ghoneim, Y. A., & Alotaibi, B. M. (2020). Farmers’ perception of the quality of mobile-based extension services in Egypt: A comparison between public and private provision. Information Development, 36(2), 161–180. https://doi.org/10.1177/0266666919832649
[13] Introduction, A. (2018). Digital Farming Initiatives.
[14] Diaz, A. C., Sasaki, N., Tsusaka, T. W., & Szabo, S. (2021). Factors affecting farmers’ willingness to adopt a mobile app in the marketing of bamboo products. Resources, Conservation & Recycling Advances, 11, 200056. https://doi.org/10.1016/j.rcradv.2021.200056.
[15] Gever, V. C. (2019). Effect of Mobile phone communication messages on participation in agriculture among university unemployed graduates. Skhid, 0(2(160)), 52–59. https://doi.org/10.21847/1728-9343.2019.2(160).165721
[16] Abayomi-Alli, A., Misra, S., Dada, M., Alonge, C. Y., Agbaegbu, J. B., Arogundade, O. ‘Tale, & Ahuja, R. (2021). A Mobile-Based Market Information System (Issue July). Springer International Publishing. https://doi.org/10.1007/978-3-030-76736-5_4
[17] Emeana, E. M., Trenchard, L., & Dehnen-Schmutz, K. (2020). The revolution of mobile phone-enabled services for agricultural development (m-Agri services) in Africa: The challenges for sustainability. Sustainability (Switzerland), 12(2). https://doi.org/10.3390/su12020485