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

• 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/97596/1/ABSTRACT.pdf; http://psasir.upm.edu.my/id/eprint/97596/; https://www.mdpi.com/2076-3417/11/24/11798

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...