Automatic Disease Detection of Basal Stem Rot Using Deep Learning and Hyperspectral Imaging
Basal Stem Rot (BSR), a disease caused by <i>Ganoderma boninense</i> (<i>G. boninense</i>), has posed a significant concern for the oil palm industry, particularly in Southeast Asia, as it has the potential to cause substantial economic losses. The breeding programme is curre...
Main Authors: | Lai Zhi Yong, Siti Khairunniza-Bejo, Mahirah Jahari, Farrah Melissa Muharam |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/13/1/69 |
Similar Items
-
Machine-Learning Approach Using SAR Data for the Classification of Oil Palm Trees That Are Non-Infected and Infected with the Basal Stem Rot Disease
by: Izrahayu Che Hashim, et al.
Published: (2021-03-01) -
Classification of Non-Infected and Infected with Basal Stem Rot Disease Using Thermal Images and Imbalanced Data Approach
by: Izrahayu Che Hashim, et al.
Published: (2021-11-01) -
Non-Destructive Detection of Asymptomatic <i>Ganoderma boninense</i> Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine
by: Siti Khairunniza-Bejo, et al.
Published: (2021-11-01) -
Differences Between Healthy and Ganoderma boninense Infected Oil Palm Seedlings Using Spectral Reflectance of Young Leaf Data
by: Aiman N.N. Azmi, et al.
Published: (2021-08-01) -
Automatic disease detection of basal stem rot using deep learning and hyperspectral imaging
by: Yong, Lai Zhi, et al.
Published: (2022)