Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet

  • Putri Ayu Pramesti BRIN
  • Muhamad Rodhi Supriyadi BRIN
  • Muhammad Reza Alfin BRIN
  • Rita Noveriza BRIN
  • Dono Wahyuno BRIN
  • Dyah Manohara BRIN
  • Melati BRIN
  • Miftakhurohmah BRIN
  • Riki Warman BRIN
  • Siti Hardiyanti BRIN
  • Asnawi BRIN

Abstract

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.

Author Biographies

Putri Ayu Pramesti, BRIN

Research Center for Artificial Intelligence and Cybersecurity, Research Organization for Electronics and Informatics

Muhamad Rodhi Supriyadi, BRIN

Research Center for Artificial Intelligence and Cybersecurity, Research Organization for Electronics and Informatics

Muhammad Reza Alfin, BRIN

Research Center for Artificial Intelligence and Cybersecurity, Research Organization for Electronics and Informatics

Rita Noveriza, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Dono Wahyuno, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Dyah Manohara, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Melati, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Miftakhurohmah, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Riki Warman, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Siti Hardiyanti, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Asnawi, BRIN

Research Center for Horticulture and Estate, Research Organization for Agriculture and Food

Published
2024-06-03
How to Cite
Pramesti, P. A., Supriyadi, M. R., Alfin, M. R., Noveriza, R., Wahyuno, D., Manohara, D., Melati, Miftakhurohmah, Warman, R., Hardiyanti, S., & Asnawi. (2024). Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet. Jurnal Ilmu Komputer Dan Informasi, 17(2), 159-166. https://doi.org/10.21609/jiki.v17i2.1237