@inproceedings{6bd7eeb5fd03424996779f4fb87b7d91,
title = "Classification of Strawberry Plant Diseases with Leaf Image Using CNN",
abstract = "Strawberry plant is one of fruit plants that can grow in the highland with an altitude of 1000-1500m above sea level. Good care is taken to overcome diseases in strawberry plants. Farmers are usually difficult to distinguish the type of disease in strawberry plants. Deep learning is one of the ways to distinguish the types of diseases in plants by processing image feature extraction. Convolutional Neural Network (CNN) is one of the methods used in deep learning to classify diseases in strawberry plants by extracting image features of strawberry leaf disease. In this study, we propose a deep learning method using CNN to classification 6 types of diseases in strawberry plants with the use of 4663 strawberry leaf disease image data. The result of accuracy is 63,7%.",
keywords = "Convolutional Neural Network, Deep Learning, Strawberry Plant Disease, classification",
author = "Dinata, {Muhammad Imam} and {Mardi Susiki Nugroho}, Supeno and Rachmadi, {Reza Fuad}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Artificial Intelligence and Computer Science Technology, ICAICST 2021 ; Conference date: 29-06-2021",
year = "2021",
month = jun,
day = "29",
doi = "10.1109/ICAICST53116.2021.9497830",
language = "English",
series = "ICAICST 2021 - 2021 International Conference on Artificial Intelligence and Computer Science Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "68--72",
booktitle = "ICAICST 2021 - 2021 International Conference on Artificial Intelligence and Computer Science Technology",
address = "United States",
}