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Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm

Innovations in Unmanned Aerial Vehicle (UAV) technology and data processing capacities have made it easier to collect high-resolution images and 3D data that can be used to monitor and measure tree characteristics in agriculture. This research explores the performance of high spatial resolution UAV...

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Main Author: Muhammad Yusuf, Akmal Alif
Format: Thesis
Language:English
Published: 2022
Subjects:
Aerial geography
Fruit trees
Online Access:https://ir.uitm.edu.my/id/eprint/65355/1/65355.pdf
https://ir.uitm.edu.my/id/eprint/65355/
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spelling my.uitm.ir.653552022-09-25T16:35:49Z https://ir.uitm.edu.my/id/eprint/65355/ Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm Muhammad Yusuf, Akmal Alif Aerial geography Fruit trees Innovations in Unmanned Aerial Vehicle (UAV) technology and data processing capacities have made it easier to collect high-resolution images and 3D data that can be used to monitor and measure tree characteristics in agriculture. This research explores the performance of high spatial resolution UAV imagery to estimate tree height and crown dimensions for Mango Tree. Furthermore, high-resolution spatial imagery generated by unmanned aerial vehicles (UAVs) can provide precise and effective estimate of tree measurements and structural canopy variables. The aim of this study is monitor Harum Manis tree growth and crown canopy diameter using multitemporal UAV image in plantation farm. This research will use Agisoft PhotoScan to process multitemporal data and eCognition for analyse object-based image analysis (OBIA). The study area for this research is in University Teknologi Mara Arau Perlis at Harum Manis mango farm. The contribution of this study is to produce Canopy Height Mapping (CHM) from difference multitemporal UAV data and characterization of mango tree develop using OBIA algorithm to monitoring development Harum Manis Tree. The RMSE for May 2019 is 0.315m with R2=0. 8115.Combination OBIA and UAV can be used for monitoring crop. 2022-08-12 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/65355/1/65355.pdf Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm. (2022) Degree thesis, thesis, Universiti Teknologi Mara Perlis. <http://terminalib.uitm.edu.my/65355.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 Aerial geography
Fruit trees
spellingShingle Aerial geography
Fruit trees
Muhammad Yusuf, Akmal Alif
Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm
description Innovations in Unmanned Aerial Vehicle (UAV) technology and data processing capacities have made it easier to collect high-resolution images and 3D data that can be used to monitor and measure tree characteristics in agriculture. This research explores the performance of high spatial resolution UAV imagery to estimate tree height and crown dimensions for Mango Tree. Furthermore, high-resolution spatial imagery generated by unmanned aerial vehicles (UAVs) can provide precise and effective estimate of tree measurements and structural canopy variables. The aim of this study is monitor Harum Manis tree growth and crown canopy diameter using multitemporal UAV image in plantation farm. This research will use Agisoft PhotoScan to process multitemporal data and eCognition for analyse object-based image analysis (OBIA). The study area for this research is in University Teknologi Mara Arau Perlis at Harum Manis mango farm. The contribution of this study is to produce Canopy Height Mapping (CHM) from difference multitemporal UAV data and characterization of mango tree develop using OBIA algorithm to monitoring development Harum Manis Tree. The RMSE for May 2019 is 0.315m with R2=0. 8115.Combination OBIA and UAV can be used for monitoring crop.
format Thesis
author Muhammad Yusuf, Akmal Alif
author_facet Muhammad Yusuf, Akmal Alif
author_sort Muhammad Yusuf, Akmal Alif
title Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm
title_short Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm
title_full Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm
title_fullStr Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm
title_full_unstemmed Evaluation of tree growth characteristics of harum manis mango from multitemporal UAV image in plantation farm
title_sort evaluation of tree growth characteristics of harum manis mango from multitemporal uav image in plantation farm
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/65355/1/65355.pdf
https://ir.uitm.edu.my/id/eprint/65355/
_version_ 1745565317520687104
score 13.244367

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