Cover Image

GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa

The impact of Red Palm Weevil (RPW) disease has led to the yield losses and revenue and have potential to destroy Malaysia’s palm industry within just 20 years if it left unchecked with no effective prevention manner. RPW is currently detected visually from symptoms effected on infected trees in the...

Full description

Saved in:
Bibliographic Details
Main Author: Mustafa, Nurul Amierah
Format: Thesis
Language:English
Published: 2022
Subjects:
Remote Sensing
Geographic information systems
Pests and diseases
Online Access:https://ir.uitm.edu.my/id/eprint/64379/1/64379.pdf
https://ir.uitm.edu.my/id/eprint/64379/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.64379
record_format eprints
spelling my.uitm.ir.643792022-09-25T16:49:33Z https://ir.uitm.edu.my/id/eprint/64379/ GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa Mustafa, Nurul Amierah Remote Sensing Geographic information systems Pests and diseases The impact of Red Palm Weevil (RPW) disease has led to the yield losses and revenue and have potential to destroy Malaysia’s palm industry within just 20 years if it left unchecked with no effective prevention manner. RPW is currently detected visually from symptoms effected on infected trees in the plantation. Visual monitoring in the field is time consuming. Hence, there is a need for quick detection of pest infestation in the area.The proposed method will be tested using imagery based on remote sensing from unmanned aerial vehicles & satellite imagery that many plantation companies currently operate for surveillance and monitoring plantation coverage. GIS and remote sensing approach offers wide tools in order to monitor pest infestation. This study is intended to identify pest infestation at UiTM Perlis plantation by using satellite imagery. Several methods of achieving the aim have been described. These methods include site observation, image processing and analysis. The use of SPOT 6 Panchromatic image has been examined in detail using a tree counting process in eCognition software. The ERDAS Imagine software is used for the purpose og image geometric correction and image classification for infected and non infected trees. The results are then being assessed by performing accuracy assessment in ArcMap and ERDAS softwares. Pest infestation area in UiTM Perlis plantation is showed in a few maps including the classified image from image classification. All important factors influencing the results have been explained in detail. Analysis shows panchromatic image with good pixel resolution has ability to map the infested area only with the integration of ground truth data as reference. Some previous research are done by using multispectral images which could resulting better result from image classification. The results of pest infestation map are presented such that they can be used as an aid for monitoring and prevention purpose. 2022-07-21 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64379/1/64379.pdf GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa. (2022) Degree thesis, thesis, Universiti Teknologi Mara Perlis. <http://terminalib.uitm.edu.my/64379.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 Remote Sensing
Geographic information systems
Pests and diseases
spellingShingle Remote Sensing
Geographic information systems
Pests and diseases
Mustafa, Nurul Amierah
GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa
description The impact of Red Palm Weevil (RPW) disease has led to the yield losses and revenue and have potential to destroy Malaysia’s palm industry within just 20 years if it left unchecked with no effective prevention manner. RPW is currently detected visually from symptoms effected on infected trees in the plantation. Visual monitoring in the field is time consuming. Hence, there is a need for quick detection of pest infestation in the area.The proposed method will be tested using imagery based on remote sensing from unmanned aerial vehicles & satellite imagery that many plantation companies currently operate for surveillance and monitoring plantation coverage. GIS and remote sensing approach offers wide tools in order to monitor pest infestation. This study is intended to identify pest infestation at UiTM Perlis plantation by using satellite imagery. Several methods of achieving the aim have been described. These methods include site observation, image processing and analysis. The use of SPOT 6 Panchromatic image has been examined in detail using a tree counting process in eCognition software. The ERDAS Imagine software is used for the purpose og image geometric correction and image classification for infected and non infected trees. The results are then being assessed by performing accuracy assessment in ArcMap and ERDAS softwares. Pest infestation area in UiTM Perlis plantation is showed in a few maps including the classified image from image classification. All important factors influencing the results have been explained in detail. Analysis shows panchromatic image with good pixel resolution has ability to map the infested area only with the integration of ground truth data as reference. Some previous research are done by using multispectral images which could resulting better result from image classification. The results of pest infestation map are presented such that they can be used as an aid for monitoring and prevention purpose.
format Thesis
author Mustafa, Nurul Amierah
author_facet Mustafa, Nurul Amierah
author_sort Mustafa, Nurul Amierah
title GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa
title_short GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa
title_full GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa
title_fullStr GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa
title_full_unstemmed GIS and remote sensing approach in identification of pest infestation at UiTM Perlis Plantation / Nurul Amierah Mustafa
title_sort gis and remote sensing approach in identification of pest infestation at uitm perlis plantation / nurul amierah mustafa
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/64379/1/64379.pdf
https://ir.uitm.edu.my/id/eprint/64379/
_version_ 1745565312128909312
score 13.211869

Similar Items