Cow health monitoring and disease detection
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
Brac University
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/20996 |
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10361-20996 |
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10361-209962023-09-19T21:02:41Z Cow health monitoring and disease detection Ahmed, Safayet Niloy, Tanjim Rahman Hossain, Md Sazzad Hossain, Khelafat Shams, Kazi Ananda Huda, A.S. Nazmul Taz, Nahid Hossain Antara, Raihana Shams Islam Department of Electrical and Electronic Engineering, Brac University Cow IoT Farming Diseases User-friendly Internet of things This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 116-117). This 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. Safayet Ahmed Tanjim Rahman Niloy Md Sazzad Hossain Khelafat Hossain Kazi Ananda Shams B. Electrical and Electronic Engineering 2023-09-19T04:17:38Z 2023-09-19T04:17:38Z 2023 2023-05 Thesis ID 18321037 ID 18321055 ID 18321051 ID 16221041 18221051 http://hdl.handle.net/10361/20996 en 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. 146 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Cow IoT Farming Diseases User-friendly Internet of things |
| spellingShingle |
Cow IoT Farming Diseases User-friendly Internet of things Ahmed, Safayet Niloy, Tanjim Rahman Hossain, Md Sazzad Hossain, Khelafat Shams, Kazi Ananda Cow health monitoring and disease detection |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023. |
| author2 |
Huda, A.S. Nazmul |
| author_facet |
Huda, A.S. Nazmul Ahmed, Safayet Niloy, Tanjim Rahman Hossain, Md Sazzad Hossain, Khelafat Shams, Kazi Ananda |
| format |
Thesis |
| author |
Ahmed, Safayet Niloy, Tanjim Rahman Hossain, Md Sazzad Hossain, Khelafat Shams, Kazi Ananda |
| author_sort |
Ahmed, Safayet |
| title |
Cow health monitoring and disease detection |
| title_short |
Cow health monitoring and disease detection |
| title_full |
Cow health monitoring and disease detection |
| title_fullStr |
Cow health monitoring and disease detection |
| title_full_unstemmed |
Cow health monitoring and disease detection |
| title_sort |
cow health monitoring and disease detection |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/20996 |
| work_keys_str_mv |
AT ahmedsafayet cowhealthmonitoringanddiseasedetection AT niloytanjimrahman cowhealthmonitoringanddiseasedetection AT hossainmdsazzad cowhealthmonitoringanddiseasedetection AT hossainkhelafat cowhealthmonitoringanddiseasedetection AT shamskaziananda cowhealthmonitoringanddiseasedetection |
| _version_ |
1814308336779132928 |