Automatic Irrigation System Using Fuzzy Logic Control

Hussein, Ahmed Eltag Mohammed; Mohammed, Hajer Tajelsir Ahmed; Mohamed, Hassan Elfatih Hassan; Mohamed, Yahia Atif Elmagboul; Supervisor-, AbuAgla Babiker

dc.contributor.author	Hussein, Ahmed Eltag Mohammed
dc.contributor.author	Mohammed, Hajer Tajelsir Ahmed
dc.contributor.author	Mohamed, Hassan Elfatih Hassan
dc.contributor.author	Mohamed, Yahia Atif Elmagboul
dc.contributor.author	Supervisor-, AbuAgla Babiker
dc.date.accessioned	2022-09-27T09:29:31Z
dc.date.available	2022-09-27T09:29:31Z
dc.date.issued	2022-03-01
dc.identifier.citation	Hussein,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.uri	http://repository.sustech.edu/handle/123456789/27609
dc.description	PACHELOR RESEARCH	en_US
dc.description.abstract	Agriculture 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.sponsorship	Sudan University Of Science & Technology	en_US
dc.language.iso	en_US	en_US
dc.publisher	Sudan University Of Science & Technology	en_US
dc.subject	Automatic Irrigation System Using Fuzzy Logic Control	en_US
dc.subject	Fuzzy Logic Control	en_US
dc.title	Automatic Irrigation System Using Fuzzy Logic Control	en_US
dc.type	Thesis	en_US