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Implementation of fuzzy logic in autonomous irrigation system for efficient use of water

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dc.contributor.advisor Chakrabarty, Amitabha
dc.contributor.author Haque, Mohammad Mahbubul
dc.contributor.author Khan, Mahbubur Rahman
dc.contributor.author Ruhi, Raihana Ismat
dc.contributor.author Hasan, Md. Fuad
dc.date.accessioned 2018-05-09T10:06:02Z
dc.date.available 2018-05-09T10:06:02Z
dc.date.copyright 2018
dc.date.issued 2018-04
dc.identifier.other ID 12321017
dc.identifier.other ID 12201075
dc.identifier.other ID 13101010
dc.identifier.other ID 12201076
dc.identifier.uri http://hdl.handle.net/10361/10105
dc.description This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. en_US
dc.description Cataloged from PDF version of thesis.
dc.description Includes bibliographical references (pages 34-36).
dc.description.abstract This project is focused on application of fuzzy logic to control an automatic irrigation system. In organic way, an experienced human farmer can manage the irrigation system by sensing soil moisture by fingertip and decide the estimated timing as well as water flow rate for irrigation. This system will do everything on behalf of human. The moisture sensor of the irrigation control system has a nonlinear response and a significant time delay; it can be difficult to get satisfactory results by using a regular feedback control system. As fuzzy logic system is able to mimic human reasoning and decision making, it can improvise the regular feedback system for decision making. Data from soil moisture sensors will be used as inputs to the system. The fuzzy control system will process the estimated soil moisture contents from multiple section of land. It will use linguistic knowledge to produce a control output that is sent to a motor which controls the water flow rate from a static water source to the land of cultivation. The control unit will also control a pump which will fill up the source/water tank. A data set will also be used to make different output for different plants. In many researches, efficiency of the fuzzy logic control system has been measured and got the satisfactory output. en_US
dc.description.statementofresponsibility Mohammad Mahbubul
dc.description.statementofresponsibility Mahbubur Rahman Khan
dc.description.statementofresponsibility Raihana Ismat Ruhi
dc.description.statementofresponsibility Md. Fuad Hasan
dc.format.extent 36 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.rights BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Fuzzy logic en_US
dc.subject Irrigation system en_US
dc.subject Water en_US
dc.title Implementation of fuzzy logic in autonomous irrigation system for efficient use of water en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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