GIS and UAV aerial imaging applications for durian plantation management

Mohamad Toel, Nor Fatin Syafiqah (2019) GIS and UAV aerial imaging applications for durian plantation management. [Project Paper] (Submitted)

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Abstract

Geographic Information System (GIS) involves the collection, management and analysis of spatial data. Aerial imaging is one of the derivations for data acquisition from the platform of the Unmanned Aerial Vehicle (UAV). Aerial imaging has been extensively used for vegetation mapping in many fields. In Malaysia, crop monitoring of durian plantation area is still done in a conventional way despite the large area of durian plantation. Combination of the UAV aerial imaging and image processing techniques can be used to improve the durian plantation management. Vegetation has its unique electromagnetic signature and each band can be identified to analyse the crop health from the electromagnetic signature reflectance value. Therefore, UAV is able to capture different spectra band image. In this research, we create digital maps of a durian plantation and use it to produce Vegetation Indices (VI); Normalised Difference Vegetation Index (NDVI), Normalised Difference Red-Edge (NDRE), Chlorophyll Index-Green (ClG), Chlorophyll Index - Red-Edge (ClRE). The visualization of the Vegetation Indices is the compared to the ground truth tree observation. We then analyse for the best Vegetation Index. The best Vegetation Index can then be used by farmers in managing their plantation. NDRE was the best indicator in visualizing the vegetation health in the durian plantation. The accuracy obtained was 92%. Farmers benefit by the use of these maps as field visits can be minimized. The value of the vegetation indices can be applied into GIS database where the value of the image analysis can be recorded in the database thus it can help farmers to emphasize on the problematic area. Using this map, farmers can concentrate on the diseased trees and give appropriate treatment.

Item Type:	Project Paper
Faculty:	Faculty of Engineering
Depositing User:	Ms Siti Mariam Giman
Date Deposited:	17 Nov 2022 01:16
Last Modified:	17 Nov 2022 01:16
URI:	http://psaspb.upm.edu.my/id/eprint/529

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