Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project
Malaysia's agricultural activity is progressing toward the use of precision agriculture and Internet of Things (IoT) technology as the country moves forward with the adoption of Industrial Revolution 4.0. As a result, a novel approach based on spatial and thermal analysis is proposed and presen...
Published in: | Journal of Advanced Research in Fluid Mechanics and Thermal Sciences |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Published: |
Penerbit Akademia Baru
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126384852&doi=10.37934%2farfmts.91.1.115128&partnerID=40&md5=925f25ebc4a099b98836265163149fef |
id |
2-s2.0-85126384852 |
---|---|
spelling |
2-s2.0-85126384852 Yusof A.A.; Nor M.K.M.; Azyze N.L.A.M.S.; Kassim A.M.; Shamsudin S.A.; Sulaiman H.; Hanafi M.A. Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project 2022 Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 91 1 10.37934/arfmts.91.1.115128 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126384852&doi=10.37934%2farfmts.91.1.115128&partnerID=40&md5=925f25ebc4a099b98836265163149fef Malaysia's agricultural activity is progressing toward the use of precision agriculture and Internet of Things (IoT) technology as the country moves forward with the adoption of Industrial Revolution 4.0. As a result, a novel approach based on spatial and thermal analysis is proposed and presented, along with a low-cost thermal and photogrammetric modelling workflow. As a result, the purpose of this project is to monitor durian orchards using drones equipped with thermal and red-green-blue (RGB) digital cameras. Thermal maps are presented to demonstrate the relationship between vegetation and soil temperature, and digital imagery from an early stage of preparation in the orchard is analysed for overall management system improvement. The findings indicate that the uneven ground surface of the orchard may have an effect on the irrigation system and crop yield production. Thermal imaging also reveals variations in soil temperature that are related to soil humidity. A well-managed orchard is essential for ensuring that the crop grows in a healthy state. The data acquisition and processing part of this workflow are being tested in Alor Gajah Smart Durian Orchard Management Project, Melaka, Malaysia © 2022, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. All Rights Reserved. Penerbit Akademia Baru 22897879 English Article All Open Access; Hybrid Gold Open Access |
author |
Yusof A.A.; Nor M.K.M.; Azyze N.L.A.M.S.; Kassim A.M.; Shamsudin S.A.; Sulaiman H.; Hanafi M.A. |
spellingShingle |
Yusof A.A.; Nor M.K.M.; Azyze N.L.A.M.S.; Kassim A.M.; Shamsudin S.A.; Sulaiman H.; Hanafi M.A. Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
author_facet |
Yusof A.A.; Nor M.K.M.; Azyze N.L.A.M.S.; Kassim A.M.; Shamsudin S.A.; Sulaiman H.; Hanafi M.A. |
author_sort |
Yusof A.A.; Nor M.K.M.; Azyze N.L.A.M.S.; Kassim A.M.; Shamsudin S.A.; Sulaiman H.; Hanafi M.A. |
title |
Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
title_short |
Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
title_full |
Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
title_fullStr |
Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
title_full_unstemmed |
Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
title_sort |
Land Clearing, Preparation and Drone Monitoring using Red-Green-Blue (RGB) and Thermal Imagery for Smart Durian Orchard Management Project |
publishDate |
2022 |
container_title |
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences |
container_volume |
91 |
container_issue |
1 |
doi_str_mv |
10.37934/arfmts.91.1.115128 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126384852&doi=10.37934%2farfmts.91.1.115128&partnerID=40&md5=925f25ebc4a099b98836265163149fef |
description |
Malaysia's agricultural activity is progressing toward the use of precision agriculture and Internet of Things (IoT) technology as the country moves forward with the adoption of Industrial Revolution 4.0. As a result, a novel approach based on spatial and thermal analysis is proposed and presented, along with a low-cost thermal and photogrammetric modelling workflow. As a result, the purpose of this project is to monitor durian orchards using drones equipped with thermal and red-green-blue (RGB) digital cameras. Thermal maps are presented to demonstrate the relationship between vegetation and soil temperature, and digital imagery from an early stage of preparation in the orchard is analysed for overall management system improvement. The findings indicate that the uneven ground surface of the orchard may have an effect on the irrigation system and crop yield production. Thermal imaging also reveals variations in soil temperature that are related to soil humidity. A well-managed orchard is essential for ensuring that the crop grows in a healthy state. The data acquisition and processing part of this workflow are being tested in Alor Gajah Smart Durian Orchard Management Project, Melaka, Malaysia © 2022, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. All Rights Reserved. |
publisher |
Penerbit Akademia Baru |
issn |
22897879 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677783193878528 |