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Prediction and classification of wheat plant disease in Pakistan using deep learning techniques

Authors

  • Muhammad Usman Malik

    Department of Computer Engineering, University of Engineering and Technology, Lahore, Pakistan Department of Computer Engineering, FAST University, Peshawar
    Author

  • Muhammad Faisal Hayat

    Department of Computer Engineering, University of Engineering and Technology, Lahore, Pakistan
    Author

DOI:

https://doi.org/10.22581/muet1982.2485

Keywords:

Wheat plant disease , Deep Learning , Convolution Neural Network, Classical data augmentation , Wheat Database

Abstract

Agriculture is the backbone of the economy in many developing countries, including Pakistan. The most economically important crops in Pakistan are wheat and cotton. However, the production of these crops is severely affected by diseases caused by pests, pathogenic bacteria, and viruses, which significantly impact a country's economic growth. Over the last decade or so, numerous image-processing techniques and deep-learning models have been developed by researchers for the identification of plant diseases; however, wheat plant disease has been very rarely addressed. In this research, several deep learning models were trained on a dataset of wheat plant disease images, which were collected from research labs and by taking images through Android mobile cameras from different regions of Khyber Pakhtunkhwa and Punjab. The dataset contains 650 images with 5 classes of wheat diseases, which is increased to 3500 images by using the classical augmentation technique to resolve the problem of overfitting. Among all the deep learning models, ResNet50 and VGG16, with fine-tuning, achieve outstanding accuracies of 95% and 93% on test data, respectively, which outperform the results of previous research conducted by the researcher using WDD17 and other datasets.

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References

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Published

2025-07-01

Issue

Vol. 44 No. 3 (2025): July Issue

Section

Articles

License

Copyright (c) 2025 Mehran University Research Journal of Engineering and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Prediction and classification of wheat plant disease in Pakistan using deep learning techniques. (2025). Mehran University Research Journal of Engineering and Technology, 44(3), 187-194. https://doi.org/10.22581/muet1982.2485

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