Convolutional neural network for maize leaf disease image classification

[...]the percentage of accuracy increased while compared to the previous study. 2.RESEARCH METHOD The steps for classification process using CNN are shown in Figure 1. The next process is classification using k-Nearest Neighbor, support machine and decision tree. 2.1.Maize leaf image Image data used...

Full description

Saved in:
Bibliographic Details
Published inTelkomnika Vol. 18; no. 3; pp. 1376 - 1381
Main Authors Syarief, Mohammad, Setiawan, Wahyudi
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.06.2020
Subjects
Accuracy
Artificial neural networks
Classification
Corn
Decision trees
Deep learning
Disease
Image classification
Machine learning
Methods
Neural networks
Pixels
Plant diseases
Support vector machines
Online AccessGet full text

Cover

More Information
Summary:[...]the percentage of accuracy increased while compared to the previous study. 2.RESEARCH METHOD The steps for classification process using CNN are shown in Figure 1. The next process is classification using k-Nearest Neighbor, support machine and decision tree. 2.1.Maize leaf image Image data used maize leaves that size of 256x256 pixels. First and second convolutional layers have filter size of 64 pixels, third and fourth have filter size of 128 pixels, fifth to seventh have filter size of 256 pixels and eight to thirteenth have filter size of 512. First and second convolutional layers have filter size of 64 pixels, third and fourth have filter size of 128 pixels, 5 to 8 have filter size of 256 pixels and the 9 to 16 have filter size of 512 pixels, 18 ReLU, 5 max-pooling, 3 fully connected layers, 2 dropouts of 0.5 Softmax and output layer.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v18i3.14840