Agricultural development is a powerful tool for raising incomes for
deprived population in developing countries, such as Kenya and to support
livelihoods by ensuing food security. This has seen the agricultural sector
position itself as an engine for sustainable
development and economic growth in Kenya. However, the profile of the farming community in Kenya is mainly female smallholders who are illiterate and that practice traditional farming methods. Therefore, there is urgent need to examine
emerging digital tools that can support these farmers, and to adopt
these tools accordingly to meet their farming needs. In this regard, this paper
seeks to explore the willingness and ability of these smallholder farmers to
accept and adopt ICT-in-agriculture innovations towards supporting their farm
operations, improving their farm productivity, and providing readily and accessible market for their produce.
Specifically, this study identifies the factors that influence
smallholder farmers’ decision on ICT innovations adoption in agriculture, and
examines how these factors are perceived by smallholder farmers on adoption of
ICT innovations. The study was carried out in Siaya County, Kenya with sample
population of 100 smallholder farmers. A
simple random sampling was used, with questionnaires used to collect
data. The findings from this study indicatecost,
illiteracy, ICT skills, quality of the information and gender as some of the
key factors that influence smallholder farmers’ choice and decision on ICT-in
agriculture innovations to adopt.
References
[1]
AGRA (2017). Africa Agriculture Status Report 2017; The Business of Smallholder Agriculture in Sub-Saharan Africa. The Alliance for a Green Revolution in Africa (AGRA).
[2]
Aker, J. C. (2011). Dial “A” for Agriculture: A Review of Information and Communication Technologies for Agricultural Extension in Developing Countries. Agricultural Economics, 42, 631-647. https://doi.org/10.1111/j.1574-0862.2011.00545.x
[3]
Angello, C. et al. (2016). Assessing the Information Needs and Information Sources of Urban and Peri-Urban Livestock Keepers in Kinondoni and Morogoro Urban Districts, Tanzania. Library Philosophy and Practice. http://digitalcommons.unl.edu/libphilprac/
[4]
Birke, F. M., & Knierim, A. (2020). ICT for Agriculture Extension: Actor Network Theory for Understanding the Establishment of Agricultural Knowledge Centers in South Wollo, Ethiopia. Information Technology for Development, 26, 591-606. https://doi.org/10.1080/02681102.2020.1727826
[5]
Boer, H. (2001a). Innovation, What Innovation? A Comparison between Product, Process and Organizational Innovation. International Journal of Technology Management, 22, 83-107. https://doi.org/10.1504/IJTM.2001.002956
[6]
Boer, H. (2001b). Innovation, What Innovation? A Comparison between Product, Process and Organizational Innovation. International Journal of Technology Management, 22, 83-107. https://doi.org/10.1504/IJTM.2001.002956
[7]
Chowhan, S., & Ghosh, S. R. (2020). Role of ICT on Agriculture and Its Future Scope in Bangladesh. Journal of Scientific Research and Reports, 26, 20-35. https://doi.org/10.9734/jsrr/2020/v26i530257
[8]
Davis, J. R. (2004). The Rural Non-Farm Economy, livelihoods, and their diversification: Issues and options. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=691821
[9]
Economics, T. (2018). Kenya Competitiveness Rank.
[10]
FAO (2013). ICT Uses for Inclusive Agricultural Value Chains. Food and Agriculture Organization of the United Nations.
[11]
FAO (2017). The Future of Food and Agriculture—Trends and Challenges.
[12]
FAO (2020a). FAO in Kenya: The Agriculture Sector in Kenya. http://www.fao.org/kenya/fao-in-kenya/kenya-at-a-glance/en/
[13]
FAO (2020b). Agricultural Value Chain Finance Innovations and Lessons: Case Studies in Africa. Food and Agriculture Organization of the United Nations (FAO) and African Rural and Agricultural Credit Association (AFRACA).
[14]
Fernandez-Cornejo, J. et al. (2016). Off-Farm Income, Technology Adoption, and Farm Economic Performance. https://www.researchgate.net/publication/23517095_Off-farm_income_technology_adoption_and_farm_economic_performance
[15]
Filho, W. L., & Gomez, J. T. (2018). Rainwater-Smart Agriculture in Arid and Semi-Arid Areas. Springer.
[16]
Hagelaar, G. (2018). Influencing Factors in Innovation on Individual and Group Level. BEERKENS, BAS.
[17]
Harris, C. G., & Achora, J. C. (2018, September). Designing ICT for Agriculture (ICT4A) Innovations for Smallholder Farmers: The Case of Uganda. In Proceedings of the XIX International Conference on Human Computer Interaction (pp. 1-9). Association for Computing Machinery. https://doi.org/10.1145/3233824.3233830
[18]
Islam, S. M., & Grönlund, Å. (2017). Factors Influencing the Adoption of Mobile Phones among the Farmers in Bangladesh: Theories and Practices. International Journal on Advances in ICT for Emerging Regions, 4, 4-14. https://doi.org/10.4038/icter.v4i1.4670
[19]
Kante, M. (2018). An ICT Model for Increased Adoption of Agricultural Input Information by Cereal Farmers in Developing Countries. UON.
[20]
KenyaRep (2016, 15 April). Key-Sectors Business Kenya. http://www.kenyarep-jp.com/business/key_sectors_e.html
[21]
Komunte, M. et al. (2012). Comparative Analysis of Mobile Phone Usage among Women Entrepreneurs in Uganda and Kenya. African Journal of Computing & ICT, 5, 74-86.
[22]
Lai, P. (2017). The Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 4, 21-38. https://doi.org/10.4301/S1807-17752017000100002
[23]
Liu, W., Shao, X. F., Wu, C. H., & Qiao, P. (2021). A Systematic Literature Review on Applications of Information and Communication Technologies and Blockchain Technologies for Precision Agriculture Development. Journal of Cleaner Production, 298, Article ID: 126763. https://doi.org/10.1016/j.jclepro.2021.126763
[24]
Melesse, B. (2018). A Review on Factors Affecting Adoption of Agricultural New Technologies in Ethiopia. Journal of Agricultural Science and Food Research, 9, Article ID: 1000226.
[25]
Mng’ong’ose, W. A., & Victor, M. (2018). Challenges Facing Adoption of ICT in Rural Areas of Tanzania. International Journal of Economics, Business and Management Research, 2, 343-359.
[26]
Mwombe, S. O. L. et al. (2014). Evaluation of Information and Communication Technology Utilization by Small Holder Banana Farmers in Gatanga District, Kenya. Journal of Agricultural Education and Extension, 20, 247-261.
[27]
Odera, D. (2020). Wefarm: Providing Information, the Cornerstone of Agribusiness. A Global Coalition for Sustainable Agricultural Development. https://farmingfirst.org/2016/07/dennis-odera-providing-information-the-cornerstone-of-agribusiness/
[28]
Saunders, M. et al. (Eds.) (2012). Research Methods for Business Students. Pearson Education Ltd.
[29]
Shiferaw, B., & Okello, R. J. (2009). Adoption and Adaptation of Natural Resource Management Innovations in Smallholder Agriculture: Reflectlons on Key Lessons and Best Practices. Environment, Development and Sustainability, 11, 601-619. https://doi.org/10.1007/s10668-007-9132-1
[30]
Takahashi, K. et al. (2019). Technology Adoption, Impact, and Extension in Developing Countries’ Agriculture: A Review of the Recent Literature. Agricultural Economics, 51, 31-45. https://doi.org/10.1111/agec.12539