CattleSavior: towards implementing an advanced external disease detection system through deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
| Autors principals: | , , , , |
|---|---|
| Altres autors: | |
| Format: | Thesis |
| Idioma: | English |
| Publicat: |
Brac University
2024
|
| Matèries: | |
| Accés en línia: | http://hdl.handle.net/10361/23792 |
| id |
10361-23792 |
|---|---|
| record_format |
dspace |
| spelling |
10361-237922024-08-19T21:00:47Z CattleSavior: towards implementing an advanced external disease detection system through deep learning Das, Rantu Sinha, Yousuf Sahid, Sohidul Haque Kar, Dipta Dipayan Shaheen, Shahidul Haque Mukta, Jannatun Noor Rahman, Rafeed Department of Computer Science and Engineering, Brac University External diseases Lumpy Skin Disease (LSD) Foot and mouth(FMD) Infectious Bovine Keratoconjunctivitis (IBK) Developing countries Deep learning CattleSavior Cognitive learning theory This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages no. 76-78). "Lumpy Skin Disease (LSD), Foot and mouth (FMD), and Infectious Bovine Keratoconjunctivitis (IBK) are some of the most common external diseases of cattle in Bangladesh. Besides, these diseases are highly contagious. Thus, it is important to detect the affected cattle in time and take immediate action. For this reason, we have conducted a survey on (N=26) cattle farmers to understand their views and needs on different external cattle diseases. In this study, we build a modern detection system for these external diseases using a deep Convolutional Neural Network (CNN) with 99% accuracy. Besides, we design and implement a novel mobile application (‘CattleSavior’) incorporating the detection system. This application makes it easier for cattle farmers to detect diseases by capturing an image of the affected area, as it provides instant feedback for the treatment. We have included not only the disease detection feature in the application but also some other necessary features that can become very useful for cattle farmers. Other features include: Information on General Diseases; Information about Vaccines for various Diseases; Vaccination Reminders; Cattle Grooming Guidelines; Generalisation of Cattle Medicine and Veterinary Information. Moreover, we have conducted another survey on (N=11) farmers to evaluate their feedback on the mobile app. " Rantu Das Yousuf Sinha Sohidul Haque Sahid Dipta Dipayan Kar Shahidul Haque Shaheen B.Sc. in Computer Science 2024-08-19T05:53:04Z 2024-08-19T05:53:04Z 2023 2023-08 Thesis ID 20301343 ID 20301432 ID 20301403 ID 20301414 ID 19201033 http://hdl.handle.net/10361/23792 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. 78 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
External diseases Lumpy Skin Disease (LSD) Foot and mouth(FMD) Infectious Bovine Keratoconjunctivitis (IBK) Developing countries Deep learning CattleSavior Cognitive learning theory |
| spellingShingle |
External diseases Lumpy Skin Disease (LSD) Foot and mouth(FMD) Infectious Bovine Keratoconjunctivitis (IBK) Developing countries Deep learning CattleSavior Cognitive learning theory Das, Rantu Sinha, Yousuf Sahid, Sohidul Haque Kar, Dipta Dipayan Shaheen, Shahidul Haque CattleSavior: towards implementing an advanced external disease detection system through deep learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Mukta, Jannatun Noor |
| author_facet |
Mukta, Jannatun Noor Das, Rantu Sinha, Yousuf Sahid, Sohidul Haque Kar, Dipta Dipayan Shaheen, Shahidul Haque |
| format |
Thesis |
| author |
Das, Rantu Sinha, Yousuf Sahid, Sohidul Haque Kar, Dipta Dipayan Shaheen, Shahidul Haque |
| author_sort |
Das, Rantu |
| title |
CattleSavior: towards implementing an advanced external disease detection system through deep learning |
| title_short |
CattleSavior: towards implementing an advanced external disease detection system through deep learning |
| title_full |
CattleSavior: towards implementing an advanced external disease detection system through deep learning |
| title_fullStr |
CattleSavior: towards implementing an advanced external disease detection system through deep learning |
| title_full_unstemmed |
CattleSavior: towards implementing an advanced external disease detection system through deep learning |
| title_sort |
cattlesavior: towards implementing an advanced external disease detection system through deep learning |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/23792 |
| work_keys_str_mv |
AT dasrantu cattlesaviortowardsimplementinganadvancedexternaldiseasedetectionsystemthroughdeeplearning AT sinhayousuf cattlesaviortowardsimplementinganadvancedexternaldiseasedetectionsystemthroughdeeplearning AT sahidsohidulhaque cattlesaviortowardsimplementinganadvancedexternaldiseasedetectionsystemthroughdeeplearning AT kardiptadipayan cattlesaviortowardsimplementinganadvancedexternaldiseasedetectionsystemthroughdeeplearning AT shaheenshahidulhaque cattlesaviortowardsimplementinganadvancedexternaldiseasedetectionsystemthroughdeeplearning |
| _version_ |
1814307089873371136 |