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Cow health monitoring and disease detection

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorHuda, A.S. Nazmul
dc.contributor.advisorTaz, Nahid Hossain
dc.contributor.advisorAntara, Raihana Shams Islam
dc.contributor.authorAhmed, Safayet
dc.contributor.authorNiloy, Tanjim Rahman
dc.contributor.authorHossain, Md Sazzad
dc.contributor.authorHossain, Khelafat
dc.contributor.authorShams, Kazi Ananda
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2023-09-19T04:17:38Z
dc.date.available2023-09-19T04:17:38Z
dc.date.copyright2023
dc.date.issued2023-05
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 116-117).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.en_US
dc.description.abstractThis abstract presents an IoT based Cow Health Monitoring and Disease Detection. The system uses different sensors to monitor cow health parameters. Moreover, the health parameters data is then transmitted to IoT analytics platform via IoT connectivity for further analyzation, visualization of cow health and anticipation of cow diseases. The system is also intended to be highly effective and affordable, making it a feasible option for large-scale application in diverse cow farms. A variety of farmers can utilize the system because it is made to be user-friendly and simple to setup. By giving access to regular cow health monitoring, this suggested IoT-based Cow Health Monitoring and Disease Detection system has the potential to improve cow health and farm quality.en_US
dc.description.degreeBachelor of Science in Electrical and Electronic Engineering
dc.description.statementofresponsibilitySafayet Ahmed
dc.description.statementofresponsibilityTanjim Rahman Niloy
dc.description.statementofresponsibilityMd Sazzad Hossain
dc.description.statementofresponsibilityKhelafat Hossain
dc.description.statementofresponsibilityKazi Ananda Shams
dc.format.extent146 pages
dc.identifier.otherID 18321037
dc.identifier.otherID 18321055
dc.identifier.otherID 18321051
dc.identifier.otherID 16221041
dc.identifier.other18221051
dc.identifier.urihttp://hdl.handle.net/10361/20996
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac 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.subjectCowen_US
dc.subjectIoTen_US
dc.subjectFarmingen_US
dc.subjectDiseasesen_US
dc.subjectUser-friendlyen_US
dc.subject.lcshInternet of things
dc.titleCow health monitoring and disease detectionen_US
dc.typeThesisen_US

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Thesis & Design Report (Bachelor of Science in Electrical and Electronic Engineering)