Hyperparameter Optimization in CNN Algorithm for Chili Leaf Disease Classification

Rizal Amegia Saputra, Diah Puspitasari, Adi Supriyatna, Dede Saefudin, Rachmat Purnama, Kresna Ramanda

2023

Abstract

Diseases of a plant will greatly affect the yield. Chilli plants are one of the most frequently used food ingredients in various dishes in Indonesia. Leaves on chili plants are often affected by the disease, if the condition is not treated immediately, the disease can damage plants and result in crop failure, early detection of chili plant diseases is very important to do, to reduce the risk of crop failure. Technological developments and the application of deep learning algorithms can monitor chili plants automatically using a computer system. Using this algorithm, the system will analyze and identify diseases that can be seen and recorded by the camera. In this study, the proposed method uses the CNN algorithm by optimizing hyperparameters. The optimizers used are Adam, Nadam, SGD, RMSProp, and Adadelta with Epoch 50 and 100, Learning Rate 0.1, and Batch Size 8, 16, and 32. From the Optimizer used, the Nadam optimizer at epoch 100, batch size 16, learning rate 0.1 gives the most optimal results with 86% accuracy, 86% precision, 84% recall, and 84% f1-score. It is proven that the CNN algorithm and the Nadam architecture are well capable of classifying data according to its class.

Paper Citation

in Harvard Style

Amegia Saputra R., Puspitasari D., Supriyatna A., Saefudin D., Purnama R. and Ramanda K. (2023). Hyperparameter Optimization in CNN Algorithm for Chili Leaf Disease Classification. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 139-142. DOI: 10.5220/0012445000003848

in Bibtex Style

@conference{icaisd23,
author={Rizal Amegia Saputra and Diah Puspitasari and Adi Supriyatna and Dede Saefudin and Rachmat Purnama and Kresna Ramanda},
title={Hyperparameter Optimization in CNN Algorithm for Chili Leaf Disease Classification},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={139-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012445000003848},
isbn={978-989-758-678-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - Hyperparameter Optimization in CNN Algorithm for Chili Leaf Disease Classification
SN - 978-989-758-678-1
AU - Amegia Saputra R.
AU - Puspitasari D.
AU - Supriyatna A.
AU - Saefudin D.
AU - Purnama R.
AU - Ramanda K.
PY - 2023
SP - 139
EP - 142
DO - 10.5220/0012445000003848
PB - SciTePress