Classification of Plant Leaf Diseases Using Deep Learning Concepts

Year : 2025 | Volume : 12 | Issue : 03 | Page : 46 55
    By

    Fahmina Taranum,

  • Bushra Sehar,

  1. Professor, Department of Computer Science and Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, Telangana, India
  2. Student, Department of Computer Science and Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, Telangana, India

Abstract

Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector. Plants suffering from illnesses experience a significant reduction in output. Delays in the identification of plant diseases lead to decreased yield and plant mortality. The cost of manufacturing is increased since it takes a big number of experts to manually detect plant diseases over several acres of land. The purpose is to summarize a critical challenge in agriculture by automating the diagnosis of plant leaf diseases with the potential to revolutionize crop management. Traditional methods are often time-consuming and complex, leading to healthier crops and a more sustainable future. The proposed work implements a convolutional neural network model, VGG-16 for training the system. The data is pre-processed to meet the requirements of the input. The VGG-16 is compared to other models such as SVM, KNN, and traditional CNN and FCNN.

Keywords: Plant diseases, leaf images, VGG16, pre-trained model, transfer learning, FCNN

[This article belongs to Journal of Image Processing & Pattern Recognition Progress ]

How to cite this article:
Fahmina Taranum, Bushra Sehar. Classification of Plant Leaf Diseases Using Deep Learning Concepts. Journal of Image Processing & Pattern Recognition Progress. 2025; 12(03):46-55.
How to cite this URL:
Fahmina Taranum, Bushra Sehar. Classification of Plant Leaf Diseases Using Deep Learning Concepts. Journal of Image Processing & Pattern Recognition Progress. 2025; 12(03):46-55. Available from: https://journals.stmjournals.com/joipprp/article=2025/view=223146


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 28/07/2025
Accepted 06/08/2025
Published 12/08/2025
Publication Time 15 Days
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