We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

A Mobile-based Tea Farming Information System

by Njeru Kenedy Munene, Bernard Shibwabo Kasamani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 19
Year of Publication: 2018
Authors: Njeru Kenedy Munene, Bernard Shibwabo Kasamani
10.5120/ijca2018916334

Njeru Kenedy Munene, Bernard Shibwabo Kasamani . A Mobile-based Tea Farming Information System. International Journal of Computer Applications. 179, 19 ( Feb 2018), 37-44. DOI=10.5120/ijca2018916334

@article{ 10.5120/ijca2018916334,
author = { Njeru Kenedy Munene, Bernard Shibwabo Kasamani },
title = { A Mobile-based Tea Farming Information System },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 179 },
number = { 19 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 37-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number19/28979-2018916334/ },
doi = { 10.5120/ijca2018916334 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:55:53.891158+05:30
%A Njeru Kenedy Munene
%A Bernard Shibwabo Kasamani
%T A Mobile-based Tea Farming Information System
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 19
%P 37-44
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Current trends in information and communication technology have led to emergence of smartphones with faster wireless speeds, faster graphics, better screens, and faster processors. Tapping into this technology can lead to development of mobile information systems that promote sustainable farming through timely information access, especially in tea farming. The traditional practice in tea farming has been dissemination of information through extension officers, Farmer Field Schools, mass media or farmer’s sharing own experience. Consequently, this vital information is either accessed too late or when obsolete and/or it is sometimes completely lacking. Limited access to information has led to an information gap hence farmers practice poor planning and farming resulting to environmental degradation and reduced revenues. This paper focused on developing a tea farming information system that meets the information needs of tea farmers. The nature of the study required the researcher to adopt deductive approach so as to compare the data findings against the existing literature through logical reasoning. A case study strategy was employed to gain a rich understanding of the research perspective with the focus being the tea farmers of Mungania Tea Factory Company Limited. Through qualitative and quantitative analysis, the research findings can be generalised to all the tea farmers. Agile system development methodology was employed due to its sustainable development having testing integrated throughout the lifecycle. The contribution of this research concerns adoption of a tea farming information system to improve on productivity, service delivery, profitability, decision-making and farmer protection from fraud and losses. Moreover, it facilitates the communication between the factory and the farmers giving easier access to extension services. It further enhances processing of more accurate and comprehensive information and generation of useful reports.

References
  1. Dutta, S., Geiger, T., and Lanvin, B. 2015. The global information technology report 2015. In World Economic Forum (Vol. 1, No. 1, pp. P80-85).
  2. Pilat, D., and Lee, F. C. (2001). Productivity Growth in ICT-producing and ICT-using Industries.
  3. Gu, T., Pung, H. K., and Zhang, D. Q. 2004. A middleware for building context-aware mobile services. In Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th (Vol. 5, pp. 2656-2660). IEEE.
  4. Zheng, M., Wei, B., Zhang, Z., and Yan, X. 2014. Adaptive Mobile Applications to Dynamic Context. Journal of Computer and Communications, 2(09), 9. http://dx.doi.org/10.4236/jcc.2014.29002.
  5. Okello, J. J., Okello, R. M., and Ofwona-Adera, E. 2009. Awareness and the use of mobile phones for market linkage by smallholder farmers in Kenya. E-agriculture and e-government for global policy development, 1-18.
  6. Winter, S. 2012. A growing lifeline: Mobile technologies in agricultural development. Retrieved August 23, 2016, from http://www.technoserve.org/blog/a-growing-lifeline-mobile-technologies-in-agricultural-development.
  7. Mittal, S., and Mehar, M. 2012. How mobile phones contribute to growth of small farmers? Evidence from India. Quarterly Journal of International Agriculture, 51(3), 227.
  8. Fischer, R. A., Byerlee, D., and Edmeades, G. O. 2009. Can technology deliver on the yield challenge to 2050. In Expert Meeting on How to feed the World in (Vol. 2050, pp. 1-48).
  9. Ozowa, V. N. 1995. Information Needs of Small Scale Farmers in Africa: The Nigerian Experience. Consultative Group on International Agricultural Research (CGIAR) Newsletter, 4(3), 10-12.
  10. Odini, S. 2014. Access to and use of agricultural information by small scale women farmers in support of efforts to attain food security in Vihiga County, Kenya. Journal of Emerging Trends in Economics and Management Sciences, 5(2), 100.
  11. Katungi, E., Edmeades, S., and Smale, M. 2008. Gender, social capital and information exchange in rural Uganda. Journal of international development, 20(1), 35-52.
  12. Hite, D., Hudson, D., and Intarapapong, W. 2002. Willingness to pay for water quality improvements: The case of precision application technology. Journal of Agricultural and Resource Economics, 433-449.
  13. Haddad, L., and Maluccio, J. A. 2003. Trust, membership in groups, and household welfare: Evidence from KwaZulu-Natal, South Africa. Economic Development and Cultural Change, 51(3), 573-601.
  14. Manda, P. A. 2002. Information and agricultural development in Tanzania: a critique. Information Development, 18(3), 181-190.
  15. Arumapperuma, S. 2008. The role of information technology in disseminating innovations in agribusiness: a comparative study of Australia and Sri Lanka (Doctoral dissertation, Victoria University).
  16. Barrios, E. B., Ryan, J. G., and Daquis, J. C. P. 2011. Impact assessment of the e-AGRIKultura project: Philippines. Praise for this book, 89.
  17. Baumüller, H. 2012. Facilitating agricultural technology adoption among the poor: The role of service delivery through mobile phones.
  18. Ogutu, S. O., Okello, J. J., and Otieno, D. J. 2014. Impact of information and communication technology-based market information services on smallholder farm input use and productivity: The case of Kenya. World Development, 64, 311-321.
  19. Barbara, G. and White, D. 2001. Developing an effective dissemination plan. United States of America. Retrieved September 27, 2016, from http://bir.ou.edu/files/bir/docs/Dissemination_plan.pdf.
  20. Monu, E. D. 1982. " Improving Agricultural Practices among African Smallholders"-The Contribution of Adoption and Diffusion of Innovation Research to Agricultural Development in Africa. African Studies Review, 25(4), 117-126.
  21. Asenso-Okyere, K., and Mekonnen, D. A. 2012. The importance of ICTs in the provision of information for improving agricultural productivity and rural incomes in Africa. African Human Development Report. UNDP Sponsored Research Series.
  22. Bertot, J. 2012. The impact of polices on government social media usage. Retrieved from Science Direct: http://www.sciencedirect.com/.
  23. Oxford University. 2003. Shortcomings of health information on the Internet. Oxford Journal.
  24. Vance, K. 2009. Social Internet Sites as a Source of Public Health Information. Retrieved from Science Direct: http://www.sciencedirect.com.
  25. Zhang, Y., Wang, L., and Duan, Y. 2016. Agricultural information dissemination using ICTs: A review and analysis of information dissemination models in China. Information Processing in Agriculture, 3(1), 17-29. http://dx.doi.org/10.1016/j.inpa.2015.11.002.
  26. Mitei, Z. 2011. Growing sustainable tea on Kenyan smallholder farms. International Journal of Agricultural Sustainability, 9(1), 59-66.
  27. Gakuru, M., Winters, K., and Stepman, F. 2009. Innovative farmer advisory services using ICT. documento presentado en el taller de W3C “Africa perspective on the role of movile technologies in fostering social development”, Maputo, 1.
  28. Chase, J. “Farmgraze is a mobile application made by farming experts at Aberystwyth University, UK” Retrieved September 17, 2017, from http://www.mobilefarmapps.com/farm-graze.html.
  29. Vutagwa, C. “Meet Calvince Okello, founder of M-Shamba” Retrieved September 17, 2017, from http://techmoran.com/meet-calvince-okello-founder-of-m-shamba/#sthash.2WOdEYrB.dpbs.
  30. Farrell, C. “HorseRATION is a mobile application made by Equine experts at Aberystwyth University, UK” Retrieved September 17, 2016, from http://www.mobilefarmapps.com/horse-app.html.
  31. Dialog. 2009. Dialog Tradenet – GGS Partnership Set to Revolutionise Agri Market Access. Retrieved from https://www.dialog.lk/news/dialog-tradenet-ggs-partnership-set-to-revolutionise-agri-market-access/.
  32. Barthorpe, A. (2016). WeFarm: Data’s role in sustainable tea production. Retrieved from http://wefarm.org/datas-role-in-sustainable-tea-production/.
  33. Thuo, H. 2016. GSMA: Creating impact for stallholder farmers through mobile technology in East Africa. Retrieved from https://www.gsma.com/mobilefordevelopment/tag/virtual-city.
  34. KTDA. KTDA MPESA Launch. Retrieved from http://www.ktdateas.com/index.php/blogs/item/18-ktda-mpesa-launch/18-ktda-mpesa-launch.html.
  35. Sibanda, L. M. 2012. Women farmers: Voiceless pillars of African agriculture.
  36. Zulberti, E. (n.d.). Agricultural Extension and Training Needs of Farmers in the Small Island Countries: A Case Study from Samoa. Retrieved from http://www.fao.org/docrep/008/y8345e/y8345e04.htm#TopOfPage.
  37. Oakley, P., and Garforth, C. 1985. Guide to extension training (No. 11). Food and Agriculture Org.
  38. Khatam, A., Muhammad, S., Chaudhry, K. M., Mann, A. H., Haq, I., Khan, Z. U.,.. and Amin, H. (2010). Strengths and weaknesses of Farmers' Field Schools approach as perceived by farmers. Sarhad J. Agric, 26(26), 685-688.
  39. Abrahamsson, P., Salo, O., Ronkainen, J., & Warsta, J. 2002. Agile software development methods: Review and analysis.
  40. Highsmith, J. 2001. History: The agile manifesto. Sitio: http://www. agilemanifesto. org/history. html.
  41. Takeuchi, H. and Nonaka, I. (1986). The New Product Development Game. Harvard Business Review January Issue. Retrieved March 20, 2017, from https://hbr.org/1986/01/the-new-new-product-development-game.
  42. Schwaber, K. 1997. Scrum development process. In Business Object Design and Implementation (pp. 117-134). Springer London.
  43. Naing, L., Winn, T., and Rusli, B. N. 2006. Practical issues in calculating the sample size for prevalence studies. Archives of orofacial Sciences, 1(1), 9-14.
Index Terms

Computer Science
Information Sciences

Keywords

Information access Tea farming Information system Mungania KTDA USSD.