Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim

Harumanis is a mango cultivar grown in parts of Indonesia and Malaysia. In Malaysia, because it is very sensitive to climate, Mango only grows in the state of Perlis and is an iconic fruit of Perlis. Mango is one of the best tropical fruits because of its aroma and sweetness. Compared to varieties f...

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主要作者:	Hashim, Ahmad Fahmi
格式:	Thesis
语言:	English
出版:	2022
主题:	Aerial geography Geographic information systems
在线阅读:	https://ir.uitm.edu.my/id/eprint/66996/1/66996.pdf
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id	my-uitm-ir.66996
record_format	uketd_dc
spelling	my-uitm-ir.669962022-09-25T16:35:37Z Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim 2022-09-20 Hashim, Ahmad Fahmi Aerial geography Geographic information systems Harumanis is a mango cultivar grown in parts of Indonesia and Malaysia. In Malaysia, because it is very sensitive to climate, Mango only grows in the state of Perlis and is an iconic fruit of Perlis. Mango is one of the best tropical fruits because of its aroma and sweetness. Compared to varieties from Indonesia, those grown in Perlis are often highly valued for export and therefore attract high foreign income. There are two conditions required for the tree to produce good flowers: hot, dry weather during the day and a chilly, windy night for three months. The aim of this study is to assess the rainfall and temperature trend analysis of Harumanis mango using tiny-tag data logger and field data collection. To achieve the aim, the objectives of this study are to: i) establish the tree data collection of several parameters (Tree height, DBH, temperature and humidity). ii) identify the relationship between the climatic trend of the Harumanis mango of the study area during vegetation, flowering, and fruiting stage data. iii) produce the graph of the climatic trend and NDVI map. The study area is carried out at Harumanis mango plantation in UiTM Arau, Perlis. Five variables such as temperature, humidity, height of tree and diameter at breast height (DBH) data will be used. This study can help obtain the method of cultivation of Harumanis mango based on temperature moisture and rainfall received by Harumanis trees to get the best crop yields. Besides, the UAV Multispectral image was used to determine the NDVI value of vegetation, flowering and fruiting stage which had been processed using ArcMap software. Therefore, it also can show that different of NDVI map for each stage. 2022-09 Thesis https://ir.uitm.edu.my/id/eprint/66996/ https://ir.uitm.edu.my/id/eprint/66996/1/66996.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Geographic information systems
spellingShingle	Aerial geography Geographic information systems Hashim, Ahmad Fahmi Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim
description	Harumanis is a mango cultivar grown in parts of Indonesia and Malaysia. In Malaysia, because it is very sensitive to climate, Mango only grows in the state of Perlis and is an iconic fruit of Perlis. Mango is one of the best tropical fruits because of its aroma and sweetness. Compared to varieties from Indonesia, those grown in Perlis are often highly valued for export and therefore attract high foreign income. There are two conditions required for the tree to produce good flowers: hot, dry weather during the day and a chilly, windy night for three months. The aim of this study is to assess the rainfall and temperature trend analysis of Harumanis mango using tiny-tag data logger and field data collection. To achieve the aim, the objectives of this study are to: i) establish the tree data collection of several parameters (Tree height, DBH, temperature and humidity). ii) identify the relationship between the climatic trend of the Harumanis mango of the study area during vegetation, flowering, and fruiting stage data. iii) produce the graph of the climatic trend and NDVI map. The study area is carried out at Harumanis mango plantation in UiTM Arau, Perlis. Five variables such as temperature, humidity, height of tree and diameter at breast height (DBH) data will be used. This study can help obtain the method of cultivation of Harumanis mango based on temperature moisture and rainfall received by Harumanis trees to get the best crop yields. Besides, the UAV Multispectral image was used to determine the NDVI value of vegetation, flowering and fruiting stage which had been processed using ArcMap software. Therefore, it also can show that different of NDVI map for each stage.
format	Thesis
qualification_level	Bachelor degree
author	Hashim, Ahmad Fahmi
author_facet	Hashim, Ahmad Fahmi
author_sort	Hashim, Ahmad Fahmi
title	Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim
title_short	Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim
title_full	Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim
title_fullStr	Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim
title_full_unstemmed	Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim
title_sort	temperature and humidity trend analysis of harumanis mango using in-situ and uav multispectral image data / ahmad fahmi hashim
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/66996/1/66996.pdf
_version_	1783735654001147904

Temperature and humidity trend analysis of Harumanis mango using in-SITU and UAV multispectral image data / Ahmad Fahmi Hashim

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