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)
Format: EJournal Article
Published: Universitas Ahmad Dahlan, 2020-07-12.
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