Disease detection system of mango leaves
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
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Brac University
2024
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10361-226822024-04-28T21:00:25Z Disease detection system of mango leaves Islam, Sabrina Paul, Apurba Chowdhury, Oishe Roy Fiza, Fahmida Akhter Department of Electrical and Electronic Engineering, Brac University Agricultural robotics Image processing Disease detection Mango leaves pest Artificial intelligence--Agricultural applications. Plant diseases. This final year design project 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 final year design project. Includes bibliographical references (pages 82-84). This work aims to design and implement a disease detection system for mango leaves. We have proposed two design approaches for the disease detection system for mango leaves. From these two design approaches, we have performed simulation and analysis to get the best design approach. The best design approach includes a pest disease detection system with a rover body. We have trained our model to detect 9 types of pest diseases in mango leaves with the help of available datasets. We have performed the test of the pest disease detection system with the rover body in a particular field. In that field, we have got 3 diseases that were detected by our rover body system successfully. Our pest disease detection system can easily expand up to the required height for the particular testing field and can detect successfully the pest diseases of the mango leaves which completes our entire project. Sabrina Islam Apurba Paul Oishe Roy Chowdhury Fahmida Akhter Fiza B. Electrical and Electronic Engineering 2024-04-28T05:30:40Z 2024-04-28T05:30:40Z ©2023 2023-12 Project report ID: 20121011 ID: 20121033 ID: 19121130 ID: 20121007 http://hdl.handle.net/10361/22682 en Brac University project reports 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. 127 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Agricultural robotics Image processing Disease detection Mango leaves pest Artificial intelligence--Agricultural applications. Plant diseases. |
spellingShingle |
Agricultural robotics Image processing Disease detection Mango leaves pest Artificial intelligence--Agricultural applications. Plant diseases. Islam, Sabrina Paul, Apurba Chowdhury, Oishe Roy Fiza, Fahmida Akhter Disease detection system of mango leaves |
description |
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023. |
author2 |
Department of Electrical and Electronic Engineering, Brac University |
author_facet |
Department of Electrical and Electronic Engineering, Brac University Islam, Sabrina Paul, Apurba Chowdhury, Oishe Roy Fiza, Fahmida Akhter |
format |
Project report |
author |
Islam, Sabrina Paul, Apurba Chowdhury, Oishe Roy Fiza, Fahmida Akhter |
author_sort |
Islam, Sabrina |
title |
Disease detection system of mango leaves |
title_short |
Disease detection system of mango leaves |
title_full |
Disease detection system of mango leaves |
title_fullStr |
Disease detection system of mango leaves |
title_full_unstemmed |
Disease detection system of mango leaves |
title_sort |
disease detection system of mango leaves |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/22682 |
work_keys_str_mv |
AT islamsabrina diseasedetectionsystemofmangoleaves AT paulapurba diseasedetectionsystemofmangoleaves AT chowdhuryoisheroy diseasedetectionsystemofmangoleaves AT fizafahmidaakhter diseasedetectionsystemofmangoleaves |
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1814306948226482176 |