Article Versions Notes

Azmi ANN, Khairunniza-Bejo S, Jahari M, Muharram FM, Yule I. Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data. Applied Sciences. 2021; 11(24):11798. https://doi.org/10.3390/app112411798

Azmi, Aiman Nabilah Noor, Siti Khairunniza-Bejo, Mahirah Jahari, Farrah Melissa Muharram, and Ian Yule. 2021. "Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data" Applied Sciences 11, no. 24: 11798. https://doi.org/10.3390/app112411798

Azmi, A. N. N., Khairunniza-Bejo, S., Jahari, M., Muharram, F. M., & Yule, I. (2021). Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data. Applied Sciences, 11(24), 11798. https://doi.org/10.3390/app112411798