Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/27609
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dc.contributor.authorHussein, Ahmed Eltag Mohammed-
dc.contributor.authorMohammed, Hajer Tajelsir Ahmed-
dc.contributor.authorMohamed, Hassan Elfatih Hassan-
dc.contributor.authorMohamed, Yahia Atif Elmagboul-
dc.contributor.authorSupervisor-, AbuAgla Babiker-
dc.date.accessioned2022-09-27T09:29:31Z-
dc.date.available2022-09-27T09:29:31Z-
dc.date.issued2022-03-01-
dc.identifier.citationHussein,Ahmed Eltag Mohammed.Automatic Irrigation System Using Fuzzy Logic Control/ Ahmed Eltag Mohammed Hussein…etc;AbuAgla Babiker.-khartoum:Sudan University Of Science & Technology,College Of Engineering, 2022.-66p:ill ;28cm.- B.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/27609-
dc.descriptionPACHELOR RESEARCHen_US
dc.description.abstractAgriculture is the biggest consumer of freshwater in the world, amounting up to 70% of the total use. This study is concerned with reducing water waste in irrigation by maintaining an automatic irrigation system using fuzzy logic control to achieve a higher level of accuracy in using water and to keep plants healthier by providing the exact amount of water they need. The research is mainly focuses on cultivating wheat in winter season, however the case study is planting mint plants, the scale is 1:560 for each cm2. It was found out from the research that the amount of water consumption in automatic irrigation system is 10% less than in traditional system.en_US
dc.description.sponsorshipSudan University Of Science & Technologyen_US
dc.language.isoen_USen_US
dc.publisherSudan University Of Science & Technologyen_US
dc.subjectAutomatic Irrigation System Using Fuzzy Logic Controlen_US
dc.subjectFuzzy Logic Controlen_US
dc.titleAutomatic Irrigation System Using Fuzzy Logic Controlen_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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