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dc.contributor.authorOnyango, Mary Margaret
dc.date.accessioned2018-10-23T10:51:04Z
dc.date.available2018-10-23T10:51:04Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11071/6000
dc.descriptionThesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Information Technology (MSIT) at Strathmore Universityen_US
dc.description.abstractFood security has been a key subject of interest to governments, non-governmental organizations such as the World Food Programme (WFP), and the Food and Agriculture Organization of the United Nations (FAO), and the local population worldwide. One of the growing problems in the food security arena is the continual rise in the number of people who are food insecure in recent years. Previous solutions have included government interventions through food pricing and agricultural subsidy policies, and non-governmental interventions through harmonization and distribution of information on food security. However, the need to come up with more and better solutions to the growing problem has been emphasized, with calls to different groups and individuals being invited in recognizing that food security is a shared responsibility. The proposed research is an application research, which employs the use of a prototype to show rainfall trends in rainfall. In a bid to reduce the time taken to access data, the research seeks to employ the use of existing data which can be accessed from online sources, with deliberate sampling employed as the main data collection method. Data sets will be sourced from the World Bank online portal. The research will then recommend the proposed prototype as a base for the measurement of rainfall that will influence decision making on food security at a local, national and regional level to local and regional food security institutions, the government of Kenya and other interested organizations.en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectFood securityen_US
dc.subjectRainfall trendsen_US
dc.subjectWorld Food Programeen_US
dc.titleA Prototype to forecast trends in rainfall amounts in Kenyaen_US
dc.typeThesisen_US


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