Productivity and Economic Benefits of Flood Recession Agriculture Vis A Vis Irrigation Farming Using a Linear Programming Approach: A Case Study in Fogera worda of South Gondar

dc.contributor.advisorAdenew, Berhanu (Dr)
dc.contributor.authorMiliket, Yirgedu
dc.date.accessioned2021-07-18T10:44:09Z
dc.date.accessioned2023-11-04T10:29:55Z
dc.date.available2021-07-18T10:44:09Z
dc.date.available2023-11-04T10:29:55Z
dc.date.issued2007-02
dc.description.abstractThe flood recession agriculture around Lake Tana is an important means of living for the residents in the plains of Fogera, Dembia and Alefa. Even though the recession zone has this advantage and is also a home of various species of birds and plants it is also believed that there will be a better use of water leading to high productivity through irrigation schemes. In order to do this the Ministry of Water Resources plans to construct Dams around the major tributary rivers of Lake Tana. This study focuses on analyzing differences in farm income due to practicing flood recession agriculture and irrigation using linear programming model with a data collected from 7 selected Kebeles of Fogera Woreda of South Gondar' zone in Amhara regional state. The result shows that an average household practicing irrigation gets an annual income more than double that of the income from flood recession farming. However before going to implementation of the plan, it is important to look consciously at various SOCIO economic as well as environmental benefits and costs of flood and irrigation farming. Key words: flood recess ion agriculture, irrigation, rain-fed agriculture, mathematical linear Programmingen_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/27228
dc.language.isoenen_US
dc.publisherA.A.Uen_US
dc.subjectFlood Recess Ion Agricultureen_US
dc.subjectMathematical Iinear Programmingen_US
dc.titleProductivity and Economic Benefits of Flood Recession Agriculture Vis A Vis Irrigation Farming Using a Linear Programming Approach: A Case Study in Fogera worda of South Gondaren_US
dc.typeThesisen_US

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