Identification of a suitable machine learning model for detection of asymptomatic Ganoderma boninense infection in oil palm seedlings using hyperspectral data

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Identification of a suitable machine learning model for detection of asymptomatic Ganoderma boninense infection in oil palm seedlings using hyperspectral data

In Malaysia, oil palm industry has made an enormous contribution to economic and social prosperity. However, it has been affected by basal stem rot (BSR) disease caused by Ganoderma boninense (G. boninense) fungus. The conventional practice to detect the disease is through manual inspection by a hum...

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Bibliographic Details
Main Authors:	Noor Azmi, Aiman Nabilah, Bejo, Siti Khairunniza, Jahari, Mahirah, Muharram, Farrah Melissa, Yule, Ian J.
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/97596/ http://psasir.upm.edu.my/id/eprint/97596/1/ABSTRACT.pdf

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