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- W2087841005 abstract "Droughts remain the number one disaster in Africa; of all the people affected by all types disasters, drought is responsible for over 88% of them. An effective drought early warning system can support appropriate mitigation and preparedness strategies and hence minimize these effects. Existing systems tend to ignore the 'at risk' community and are faced with a number of implementation challenges; their utilisation is very low. This paper describes an effective drought early warning system that integrates indigenous and scientific drought forecasting approaches. The system is anchored on a novel integration framework called ITIKI (acronym for Information Technology and Indigenous Knowledge with Intelligence). Indigenous knowledge ensures that the system is relevant, acceptable and resilient. ITIKI further employs three ICTs (Mobile phones, wireless sensor networks and artificial intelligence) to enhance the system's effectiveness, affordability, sustainability and intelligence. This paper describes the design, development and evaluation of the system." @default.
- W2087841005 created "2016-06-24" @default.
- W2087841005 creator A5085899058 @default.
- W2087841005 date "2014-09-29" @default.
- W2087841005 modified "2023-10-14" @default.
- W2087841005 title "An Effective Drought Early Warning System for Sub-Saharan Africa" @default.
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- W2087841005 doi "https://doi.org/10.1145/2664591.2664629" @default.
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