Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin

Agricultural productivity is the thing that Malaysia highly relies on economically. That is one of the reasons why plant disease identification plays an important role in the field of agriculture because it is basically to have a disease in plants. Detection of plant disease by using a spectroradiom...

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Main Author:	Mat Ariffin, Nur Adrianna
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Geometry Trigonometry Topology
Online Access:	https://ir.uitm.edu.my/id/eprint/34569/1/34569.pdf
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id	my-uitm-ir.34569
record_format	uketd_dc
spelling	my-uitm-ir.345692022-12-06T08:14:58Z Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin 2020 Mat Ariffin, Nur Adrianna Geometry. Trigonometry. Topology Agricultural productivity is the thing that Malaysia highly relies on economically. That is one of the reasons why plant disease identification plays an important role in the field of agriculture because it is basically to have a disease in plants. Detection of plant disease by using a spectroradiometer instrument is helpful because it decreases huge monitoring in huge crop farms and detects the signs of the disease means at very early stages as they occur on plant leaves. The technique used for spectroradiometer detection as well as classification of plant leaf diseases and surveys on different disease classification techniques that can be used for plant leaf disease detection. The specific objective is to identify the spectral signature characteristics of healthy (control) and "unhealthy" or stressed rubber trees due to leaf diseases as causal factors. The spectral reflectance of each infected rubber tree was separated according to the different wavelength and percent reflectance. The spectral signatures of rubber trees being attacked by diseases were characterized by a low reflectance probably due to the low chlorophyll content in the leaves leading to the tree under stress, thus easily separated from the healthy rubber. Results indicated that some groups of infected trees were well separated at the 530 - 650 nm (visible) wavelength reflectance. The spectral reflectance of rubber trees with leaf disease in visible (VIS) wavelength was not consistently separable. However, the spectral reflectance of leaf diseases can be well separated at the near-infrared range region covering from 700 - 850 nm wavelength reflectance for leaf diseases, respectively. The study implies that leaf diseases for rubber trees can only be identified successfully at the NIR range of wavelength from 700 - 850 nm reflectance. 2020 Thesis https://ir.uitm.edu.my/id/eprint/34569/ https://ir.uitm.edu.my/id/eprint/34569/1/34569.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Architecture, Planning and Surveying Hashim, Nurhanisah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Hashim, Nurhanisah
topic	Geometry Trigonometry Topology
spellingShingle	Geometry Trigonometry Topology Mat Ariffin, Nur Adrianna Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
description	Agricultural productivity is the thing that Malaysia highly relies on economically. That is one of the reasons why plant disease identification plays an important role in the field of agriculture because it is basically to have a disease in plants. Detection of plant disease by using a spectroradiometer instrument is helpful because it decreases huge monitoring in huge crop farms and detects the signs of the disease means at very early stages as they occur on plant leaves. The technique used for spectroradiometer detection as well as classification of plant leaf diseases and surveys on different disease classification techniques that can be used for plant leaf disease detection. The specific objective is to identify the spectral signature characteristics of healthy (control) and "unhealthy" or stressed rubber trees due to leaf diseases as causal factors. The spectral reflectance of each infected rubber tree was separated according to the different wavelength and percent reflectance. The spectral signatures of rubber trees being attacked by diseases were characterized by a low reflectance probably due to the low chlorophyll content in the leaves leading to the tree under stress, thus easily separated from the healthy rubber. Results indicated that some groups of infected trees were well separated at the 530 - 650 nm (visible) wavelength reflectance. The spectral reflectance of rubber trees with leaf disease in visible (VIS) wavelength was not consistently separable. However, the spectral reflectance of leaf diseases can be well separated at the near-infrared range region covering from 700 - 850 nm wavelength reflectance for leaf diseases, respectively. The study implies that leaf diseases for rubber trees can only be identified successfully at the NIR range of wavelength from 700 - 850 nm reflectance.
format	Thesis
qualification_level	Bachelor degree
author	Mat Ariffin, Nur Adrianna
author_facet	Mat Ariffin, Nur Adrianna
author_sort	Mat Ariffin, Nur Adrianna
title	Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
title_short	Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
title_full	Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
title_fullStr	Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
title_full_unstemmed	Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
title_sort	rubber leaf blight disease detection using multispectral sensor in rural and urban area / nur adrianna mat ariffin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/34569/1/34569.pdf
_version_	1783734272764411904

Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin

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