Academic Journal
Image classification of leaf disease in corn plants (Zea Mays L.) using the MobileNetV2 method
العنوان: | Image classification of leaf disease in corn plants (Zea Mays L.) using the MobileNetV2 method |
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المؤلفون: | Achmad, Dellyan, Putra, Oddy Virgantara, Muriyatmoko, Dihin |
المصدر: | Journal of Information System and Application Development; Vol 2, No 2 (2024): September 2024; 111-121 ; 2988-4721 ; 2988-5698 |
بيانات النشر: | Universitas Merdeka Malang |
سنة النشر: | 2024 |
مصطلحات موضوعية: | classification, machine learning, Depthwise Separable Convolution, MobileNetV2 |
الوصف: | One of the main problems leading to low yields and possible crop failure in maize, a crop of great importance to human civilization, is that plant diseases are discovered and treated too late, leading to more severe diseases and even crop failure. Using photos taken from the Kaggle platform and some field shots, this research seeks to develop a classification system that can identify different types of diseases present on maize leaves. The disease types identified include Common Rust, Gray Leaf Spot, and Bacterial Leaf Blight. MobileNetV2 uses a Convolutional Neural Network (CNN) design to handle resource-intensive processes. To produce a lightweight model, this CNN uses separate corner shifts. The dataset for this study was taken from field shooting and the Kaggle platform. The study found that the MobileNetV2 model clarified objects very well with 93.01% accuracy. This discovery will help farmers find diseases on corn leaves (Zea Mays L.). |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | https://jurnal.unmer.ac.id/index.php/jisad/article/view/14004/pdf; https://jurnal.unmer.ac.id/index.php/jisad/article/downloadSuppFile/14004/3430; https://jurnal.unmer.ac.id/index.php/jisad/article/view/14004 |
DOI: | 10.26905/jisad.v2i2.14004 |
الاتاحة: | https://jurnal.unmer.ac.id/index.php/jisad/article/view/14004 https://doi.org/10.26905/jisad.v2i2.14004 |
Rights: | Copyright (c) 2024 Journal of Information System and Application Development ; https://creativecommons.org/licenses/by-sa/4.0 |
رقم الانضمام: | edsbas.7253866A |
قاعدة البيانات: | BASE |
DOI: | 10.26905/jisad.v2i2.14004 |
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