Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods

Buse Çalişir; Bihter Daş

doi:10.35377/saucis...1634387

EN

Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods

Abstract

Accurate and effective classification of plant diseases is critical for increasing yield and quality in agricultural production, minimizing economic losses through early detection of diseases, and implementing sustainable agriculture approaches. This study presents an approach for detecting and classifying plant leaf diseases. We compare the performance of machine learning and deep learning-based models, and we use GAN-based data synthesis methods on a dataset we created to improve the model performance. ResNet-based feature extraction is performed for machine learning methods, and XGBoost, Random Forest, SVM, and InceptionV3 models are evaluated. In contrast, AlexNet, VGG16, VGG19, DenseNet, and ResNet models are examined within the scope of deep learning. The study was analyzed in three classes: Phytophthora Infestans, Potassium Deficiency, and Healthy, and tested on data obtained from 21 different plant species. According to the model performances obtained, the deep learning-based ResNet model showed the highest success in all performance metrics and achieved 98% accuracy, showing superior performance compared to other methods. In the study, a comprehensive evaluation of multiple classification, GAN-based data synthesis, machine learning, and deep learning models was carried out. A valuable contribution was made to the existing studies in the literature.

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Buse Çalişir ^*
0009-0003-9948-1755
Türkiye

Bihter Daş
0000-0002-2498-3297
Türkiye

Early Pub Date

October 13, 2025

Publication Date

December 29, 2025

Submission Date

February 6, 2025

Acceptance Date

August 31, 2025

Published in Issue

Year 2025 Volume: 8 Number: 4

DOI

https://doi.org/10.35377/saucis...1634387

IZ

https://izlik.org/JA44TL73LE

Cite

RIS / Bibtex

APA

Çalişir, B., & Daş, B. (2025). Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods. Sakarya University Journal of Computer and Information Sciences, 8(4), 606-620. https://doi.org/10.35377/saucis...1634387

AMA

1.Çalişir B, Daş B. Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods. SAUCIS. 2025;8(4):606-620. doi:10.35377/saucis.1634387

Chicago

Çalişir, Buse, and Bihter Daş. 2025. “Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods”. Sakarya University Journal of Computer and Information Sciences 8 (4): 606-20. https://doi.org/10.35377/saucis. 1634387.

EndNote

Çalişir B, Daş B (December 1, 2025) Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods. Sakarya University Journal of Computer and Information Sciences 8 4 606–620.

IEEE

[1]B. Çalişir and B. Daş, “Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods”, SAUCIS, vol. 8, no. 4, pp. 606–620, Dec. 2025, doi: 10.35377/saucis...1634387.

ISNAD

Çalişir, Buse - Daş, Bihter. “Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods”. Sakarya University Journal of Computer and Information Sciences 8/4 (December 1, 2025): 606-620. https://doi.org/10.35377/saucis. 1634387.

JAMA

1.Çalişir B, Daş B. Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods. SAUCIS. 2025;8:606–620.

MLA

Çalişir, Buse, and Bihter Daş. “Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods”. Sakarya University Journal of Computer and Information Sciences, vol. 8, no. 4, Dec. 2025, pp. 606-20, doi:10.35377/saucis. 1634387.

Vancouver

1.Buse Çalişir, Bihter Daş. Classification of Plant Diseases With ResNet-GAN Integration: Comparative Analysis of Machine Learning And Deep Learning Methods. SAUCIS. 2025 Dec. 1;8(4):606-20. doi:10.35377/saucis. 1634387