UCT CS Research Document Archive

ITIKI: bridge between African indigenous knowledge and modern science of drought prediction

Masinde, Muthoni and Antoine Bagula (2012) ITIKI: bridge between African indigenous knowledge and modern science of drought prediction. Knowledge Management for Development Journal 7(3):274-290.

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Abstract

Droughts are the most common type of natural disaster in Africa and the problem is compounded by their complexity. The agriculture sector still forms the backbone of most economies in Africa, with 70% of output being derived from rain-fed smallscale farming; this sector is the first casualty of droughts. Accurate, timely and relevant drought predication information enables a community to anticipate and prepare for droughts and hence minimize the negative impacts. Current weather forecasts are still alien to African farmers, most of whom live in rural areas and struggle with illiteracy and poor communications infrastructure. However, these farmers hold indigenous knowledge not only on how to predict droughts, but also on unique coping strategies. Adoption of wireless sensor networks and mobile phones to provide a bridge between scientific and indigenous knowledge of weather forecasting methods is one way of ensuring that the content of forecasts and the dissemination formats meet local needs. A framework for achieving this integration is presented in this paper. A system prototype to implement this framework is also presented.

EPrint Type:Journal (Paginated)
Keywords:drought prediction
Subjects:H Information Systems: H.4 INFORMATION SYSTEMS APPLICATIONS
ID Code:836
Deposited By:Bagula, Antoine
Deposited On:21 November 2012