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.

Detalhes bibliográficos
Principais autores: Islam, Sabrina, Paul, Apurba, Chowdhury, Oishe Roy, Fiza, Fahmida Akhter
Outros Autores: Department of Electrical and Electronic Engineering, Brac University
Formato: Project report
Idioma:English
Publicado em: Brac University 2024
Assuntos:
Acesso em linha:http://hdl.handle.net/10361/22682
id 10361-22682
record_format dspace
spelling 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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