Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet
Dublin Core
Title
Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet
Subject
Pre-trained Model, CNN, Clove Leaf Disease Classification, VGG16, ResNet, InceptionV3, Deep Learning
Description
Clove is one of the precious plants produced in Indonesia. Clove has many benefits for humans, but
clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight
Disease(CDC). The handling of CDC disease is carried out based on the severity of the symptoms that
can be seen on the affected leaves. This research was conducted to obtain a CDC disease classification model, so appropriate treatment can be carried out. This study used the pre-trained VGG16, InceptionV3, and ResNet models for classification. VGG16 got the highest average accuracy of 96.7%. Aside from that, k-fold cross validation improved the model's accuracy.
clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight
Disease(CDC). The handling of CDC disease is carried out based on the severity of the symptoms that
can be seen on the affected leaves. This research was conducted to obtain a CDC disease classification model, so appropriate treatment can be carried out. This study used the pre-trained VGG16, InceptionV3, and ResNet models for classification. VGG16 got the highest average accuracy of 96.7%. Aside from that, k-fold cross validation improved the model's accuracy.
Creator
Raden Putri Ayu Pramesti, Muhamad Rodhi Supriyadi, Muhamad Reza Alfin, Rita Noveriza,
Dono Wahyuno, Dyah Manohara, Melati, Miftakhurohmah, Riki Warman, Siti Hardiyanti, Asnawi
Dono Wahyuno, Dyah Manohara, Melati, Miftakhurohmah, Riki Warman, Siti Hardiyanti, Asnawi
Source
http://dx.doi.org/10.21609/jiki.v17i2.1237
Publisher
Faculty of Computer Science Universitas Indonesia
Date
2024-06-04
Contributor
Sri Wahyuni
Rights
e-ISSN : 2502-9274 printed ISSN : 2088-7051
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Files
Collection
Citation
Raden Putri Ayu Pramesti, Muhamad Rodhi Supriyadi, Muhamad Reza Alfin, Rita Noveriza,
Dono Wahyuno, Dyah Manohara, Melati, Miftakhurohmah, Riki Warman, Siti Hardiyanti, Asnawi, “Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet,” Repository Horizon University Indonesia, accessed June 15, 2025, https://repository.horizon.ac.id/items/show/8876.