Classifying Barako coffee leaf diseases using deep convolutional models
This work presents the application of recent Deep Convolutional Models (DCM) to classify Barako leaf diseases. Several selected DCMs performed image classification tasks using Transfer Learning and Fine-Tuning, together with data preprocessing and augmentation. The collected dataset used totals to 4...
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Main Authors: | Montalbo, Francis Jesmar Perez (Author), Hernandez, Alexander Arsenio (Author) |
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Format: | EJournal Article |
Published: |
Universitas Ahmad Dahlan,
2020-07-12.
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Online Access: | Get Fulltext |
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