Data Analytics in Agriculture Sector of Developing Countries

Mirbek Dzholbunov


Big Data is high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.  The governments in developing countries need to start using nontraditional data sources to make informed decisions which will have impact on people’s lives and value chains of different sectors. This article is a descriptive study to critique big data usage in agriculture in East Africa.


Big Data, Data Analytics, Agriculture

Full Text:



Ameyaw D.S. & Thomas S. Jayne T.S. (2016) Putting it all together in Africa Agriculture Status Report, Progress towards Agricultural Transformation in Africa (AGRA), 2016

Big History Project (2017) “The Modern Revaluation and the Future”,

Carr K. (2018) “Quaternary period – modern times”

Goepfert J., Glennon M., Iwamoto N., Bisht A., Membrila R., Anand N., Szolgayova E., Vesset D. (2018) IDC's Worldwide Semiannual Big Data and Analytics Spending Guide Taxonomy, 1H17,

IBM Marketing Cloud, (2017) 10 Key Marketing Trends for 2017 and Ideas for Customer Expectations,

Ignacio de la Torre (2011) “The origins of stone tool technology in Africa: a historical perspective”, Philosophical Transactions of the Royal Society London B: Biological Sciences. 2011 Apr 12; 366(1567): 1028–1037. doi: 10.1098/rstb.2010.0350

Korte T. (2014) How Data and Analytics Can Help the Developing World, Center for Data Innovation,

Long J. & Brindley W. (2013) The role of big data and analytics in the developing world, Accenture Development Partnerships and NetHope,

Matinde V. (2017) How IoT and Big Data are tackling Africa’s problems, IDG Content, 2017

Mattern M., &Ramierez R. (2017) “Digitizing Value Chain Finance for Smallholder Farmers.” Focus Note 106. Washington, D.C.: CGAP, April,

Milford Asset Management Limited,

Palantir Philanthropy Engineering (2014)Annual Impact Rreport, ,

Schmidt, E. (2010), Techonomy Conference in Lake Tahoe, USA,

UN Global Pulse, 'Using Mobile Phone Data and Airtime Credit Purchases to Estimate Food Security', Global Pulse Project Series no. 14, 2015



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.