2024-03-29T06:31:04Z
https://pubs.cs.uct.ac.za/cgi/oai2
oai:pubs.cs.uct.ac.za:836
2019-10-10T15:33:24Z
7375626A656374733D3130303032393531:3130303033323237
74797065733D6A6F75726E616C70
https://pubs.cs.uct.ac.za/id/eprint/836/
ITIKI: bridge between African indigenous knowledge and modern science of drought prediction
Masinde, Muthoni
Bagula, Antoine
Information systems applications
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.
2012
Journal article (paginated)
application/pdf
en
https://pubs.cs.uct.ac.za/id/eprint/836/1/ITIKI-Journal-Paper.pdf
Masinde, Muthoni and Bagula, Antoine (2012) ITIKI: bridge between African indigenous knowledge and modern science of drought prediction, Knowledge Management for Development Journal, 7, 274-290.