UCT CS Research Document Archive

Implementation RoadMap For Downscaling Drought Forecasts In Mbeere Using ITIKI

Masinde, Muthoni, Antoine Bagula and Nzioka Muthama (2013) Implementation RoadMap For Downscaling Drought Forecasts In Mbeere Using ITIKI. In Proceedings ITU Kaleidoscope Academic Conference, pages 1-8, Kyoto, Japan, 22-24 April.

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Abstract

Mbeere is in Eastern Kenya and it has an average of 550 mm annual rainfall and therefore classified under Arid and Semi-Arid Lands. It has fragile ecosystems, unfavorable climate, poor infrastructure and historical marginalization; the perennial natural disasters here are droughts. Of importance to this paper is the fact that despite its vast area of 2,093 km2, there is no single weather station serving the area. The main source of livelihood is rain-fed marginal farming and livestock keeping by small-scale and peasant farmers who rely mostly on the indigenous knowledge of seasons in making cropping decisions. ITIKI; acronym for Information Technology and Indigenous Knowledge with Intelligence is a bridge that integrates indigenous drought forecasting approach into the scientific drought forecasting approach. ITIKI, a framework initiated by the authors of this paper was adopted and adapted from the word itiki which is the name used among the Mbeere people to refer to an indigenous bridge used for decades to go across rivers. ITIKI makes use of mobile phones, wireless sensor networks and artificial intelligence to downscale weather/drought forecasts to individual farmers. ITIKI implementation project in Mbeere commenced in August 2012; this paper describes the implementation roadmap for this project.

EPrint Type:Conference Paper
Keywords:ITIKI, Indigenous Knowledge, Indigenous Knowledge Weather Forecasts, Mbeere, Drought Early Warning System
Subjects:H Information Systems: H.4 INFORMATION SYSTEMS APPLICATIONS
ID Code:872
Deposited By:Bagula, Antoine
Deposited On:13 June 2013