Identification of a Suitable Machine Learning Model for Detection of Asymptomatic <i>Ganoderma boninense</i> Infection in Oil Palm Seedlings Using Hyperspectral Data

Identification of a Suitable Machine Learning Model for Detection of Asymptomatic <i>Ganoderma boninense</i> 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 <i>Ganoderma boninense</i> (<i>G. boninense</i>) fungus. The conventional practice to detect the disease...

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Bibliographic Details
Main Authors: Aiman Nabilah Noor Azmi, Siti Khairunniza-Bejo, Mahirah Jahari, Farrah Melissa Muharram, Ian Yule
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
basal stem rot
hyperspectral
near-infrared
machine learning
asymptomatic disease
early detection
Online Access:https://www.mdpi.com/2076-3417/11/24/11798

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https://www.mdpi.com/2076-3417/11/24/11798

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