Classifying Barako coffee leaf diseases using deep convolutional models

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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Bibliographic Details
Main Authors: Francis Jesmar Perez Montalbo, Alexander Arsenio Hernandez
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020-07-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
deep learning
convolutional neural networks
classification
leaf disease
barako coffee
Online Access:http://ijain.org/index.php/IJAIN/article/view/495

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