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Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff

Current Harumanis mango farming technique in Malaysia still mostly depends on the farmers’ own expertise to monitor the crops from the attack of pests and insects. This approach is susceptible to human errors and those who do not possess this skill may not be able to detect the disease at the right...

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Main Author: Mohd Yusoff, Nurhumaira
Format: Thesis
Language:English
Published: 2021
Subjects:
Information technology. Information systems
Pattern recognition systems
Online Access:https://ir.uitm.edu.my/id/eprint/46029/1/46029.pdf
https://ir.uitm.edu.my/id/eprint/46029/
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spelling my.uitm.ir.460292023-11-06T06:22:27Z https://ir.uitm.edu.my/id/eprint/46029/ Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff Mohd Yusoff, Nurhumaira Information technology. Information systems Pattern recognition systems Current Harumanis mango farming technique in Malaysia still mostly depends on the farmers’ own expertise to monitor the crops from the attack of pests and insects. This approach is susceptible to human errors and those who do not possess this skill may not be able to detect the disease at the right time. As leaf diseases seriously affect the growth of the crop and the quality of the yield, this project aims to develop a Harumanis Mango Leaf Disease Detection System (HLDDS) that detects the presence of disease in the mango leaf using image processing technique. First, the image is acquired through a smart phone camera, once it has been pre-processed, the image is then segmented in which the RGB image is converted to HSI image, then the features are extracted. Lastly, classification of disease is done to determine the type of leaf disease. The proposed system effectively detects and classify the disease with an accuracy of 68.89%. The findings of this project will contribute to the benefit of farmers and society and researchers can use the approach to address similar issues in future works. 2021 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/46029/1/46029.pdf Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff. (2021) Degree thesis, thesis, Universiti Teknologi MARA, Perlis. <http://terminalib.uitm.edu.my/46029.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Information technology. Information systems
Pattern recognition systems
spellingShingle Information technology. Information systems
Pattern recognition systems
Mohd Yusoff, Nurhumaira
Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
description Current Harumanis mango farming technique in Malaysia still mostly depends on the farmers’ own expertise to monitor the crops from the attack of pests and insects. This approach is susceptible to human errors and those who do not possess this skill may not be able to detect the disease at the right time. As leaf diseases seriously affect the growth of the crop and the quality of the yield, this project aims to develop a Harumanis Mango Leaf Disease Detection System (HLDDS) that detects the presence of disease in the mango leaf using image processing technique. First, the image is acquired through a smart phone camera, once it has been pre-processed, the image is then segmented in which the RGB image is converted to HSI image, then the features are extracted. Lastly, classification of disease is done to determine the type of leaf disease. The proposed system effectively detects and classify the disease with an accuracy of 68.89%. The findings of this project will contribute to the benefit of farmers and society and researchers can use the approach to address similar issues in future works.
format Thesis
author Mohd Yusoff, Nurhumaira
author_facet Mohd Yusoff, Nurhumaira
author_sort Mohd Yusoff, Nurhumaira
title Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
title_short Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
title_full Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
title_fullStr Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
title_full_unstemmed Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
title_sort harumanis mango leaf disease detection system using image processing technique / nurhumaira mohd yusoff
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/46029/1/46029.pdf
https://ir.uitm.edu.my/id/eprint/46029/
_version_ 1783882130623823872
score 13.211869

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