Citation

Chan, Yee Kit and Koo, Voon Chet and Zahisham, Muhammad Zharfan Adli and Lim, Kian Ming and Tee, Connie and Lim, Chee Siong and Chang, Yang Lang and Lee, Yang Ping and Abidin, Haryati (2022) Design and Development of a Drone Based Hyperspectral Imaging System. In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 17-22 July 2022, Kuala Lumpur, Malaysia.

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Abstract

In this project, an experimental study on disease detection and nutrient extraction of plantation such as oil palm will be carried out using a drone based hyperspectral imaging system developed by Centre for Remote Sensing and Surveillance Technologies (CRSST), Multimedia University (MMU), Malaysia. The major advantages of this system are light weight (approximately 250g for sensor) and larger number of band selection (from 500nm to 900nm) compared to a conventional multispectral camera. A customised multirotor drone has been designed and developed for longer endurance operation and to carry the non-standard payload i.e. hyperspectral camera. Preliminary testing has been performed in laboratory and oil palm plantation to verify the developed system. Initial results show that the hyperspectral data are suitable to be used for differentiation of the healthiness level of the oil palm plantation.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Hyperspectral imaging, precision agriculture, multirotor drone, remote sensing
Subjects:	S Agriculture > S Agriculture (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK8300-8360 Photoelectronic devices (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	05 Jan 2023 03:40
Last Modified:	05 Jan 2023 03:40
URII:	http://shdl.mmu.edu.my/id/eprint/10820

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