Abstract
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.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Hashim, Ahmad Fahmi UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Aerial geography G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Programme: | Surveying Science and Geomatics |
Keywords: | Temperature ; Humidity Trend ; SITU ; UAV ; Multispectral Image Data |
Date: | 20 September 2022 |
URI: | https://ir.uitm.edu.my/id/eprint/66996 |
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