Academic Journal

Image classification of leaf disease in corn plants (Zea Mays L.) using the MobileNetV2 method

التفاصيل البيبلوغرافية
العنوان: Image classification of leaf disease in corn plants (Zea Mays L.) using the MobileNetV2 method
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
الوصف
DOI:10.26905/jisad.v2i2.14004