Plant Disease Detection Using Machine Learning

Year : 2025 | Volume : 12 | Issue : 02 | Page : 07 19
    By

    Paras Dwivedi,

  • Ram Sharma,

  • Devesh Rai,

  • Nidhi Sharma,

  1. Student, Department of Computer Science Engineering, Ganeshi Lal Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India
  2. Student, Department of Computer Science Engineering, Ganeshi Lal Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India
  3. Student, Department of Computer Science Engineering, Ganeshi Lal Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India
  4. Student, Department of Computer Science Engineering, Ganeshi Lal Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

Abstract

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Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. It achieved an overall classification accuracy of 88.62%. Performance assessments using a confusion matrix and classification reports indicate strong accuracy across most disease categories. This model aims to help farmers and agricultural professionals recognize early signs of disease, improve crop health, increase yields, and minimize losses.

Keywords: Machine learning (ML), plant disease detection, plant leaf analysis, image classification, convolutional neural network (CNN), deep learning

[This article belongs to Journal of Multimedia Technology & Recent Advancements ]

How to cite this article:
Paras Dwivedi, Ram Sharma, Devesh Rai, Nidhi Sharma. Plant Disease Detection Using Machine Learning. Journal of Multimedia Technology & Recent Advancements. 2025; 12(02):07-19.
How to cite this URL:
Paras Dwivedi, Ram Sharma, Devesh Rai, Nidhi Sharma. Plant Disease Detection Using Machine Learning. Journal of Multimedia Technology & Recent Advancements. 2025; 12(02):07-19. Available from: https://journals.stmjournals.com/jomtra/article=2025/view=0


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 06/05/2025
Accepted 08/05/2025
Published 13/06/2025
Publication Time 38 Days
38

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