Abstract
In this study, we are addressing the important issue of leaf disease detection and classification for date palm plants, which is a major crop for the economy of arid and semi-arid countries. The height of the trees and the commonality of disease symptoms often hamper the use of standard inspection methods, resulting in delayed or wrong identification. To address these problems, we present a deep learning-based architecture using DenseNet201 as a teacher model and EfficientNetV2-S as a student model in a knowledge distillation setting. The initial image data was provided by Kaggle. This data was diversified using Stable Diffusion inpainting. Manual and automatic mask construction approaches were used for accurate data augmentation. The full workflow includes systematic preprocessing, robust augmentation, and gradual fine-tuning. Experimental results reveal that the suggested system is quite accurate for the classification of four major types.
Keywords
Publication details
- DOI
- 10.69983/sujeiti/2253
- Journal
- Sohar University Journal of Engineering and Information Technology Innovations, 2(2), 33-52
- Publisher
- Sohar University
- Open access
- Gold open access
- License
- CC BY-NC 4.0
Cite this article
APA 7
Al-Asadi, A. H. H., & Muter, M. A. (2026). Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation. Sohar University Journal of Engineering and Information Technology Innovations, 2(2), 33-52. https://doi.org/10.69983/sujeiti/2253
MLA 9
Al-Asadi, Abbas H. Hassin, and Maryam Abdulhelm Muter. "Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation." Sohar University Journal of Engineering and Information Technology Innovations, vol. 2, no. 2, 2026, pp. 33-52. https://doi.org/10.69983/sujeiti/2253.
Chicago (author–date)
Al-Asadi, Abbas H. Hassin, and Maryam Abdulhelm Muter. 2026. "Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation." Sohar University Journal of Engineering and Information Technology Innovations 2 (2): 33-52. https://doi.org/10.69983/sujeiti/2253.
Harvard
Al-Asadi, A. H. H. and Muter, M. A. (2026) 'Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation', Sohar University Journal of Engineering and Information Technology Innovations, 2(2), pp. 33-52. doi:10.69983/sujeiti/2253.
Vancouver
Al-Asadi AHH, Muter MA. Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation. Sohar University Journal of Engineering and Information Technology Innovations. 2026;2(2):33-52. doi:10.69983/sujeiti/2253
IEEE
A. H. H. Al-Asadi, and M. A. Muter, "Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation," Sohar University Journal of Engineering and Information Technology Innovations, vol. 2, no. 2, pp. 33-52, 2026, doi: 10.69983/sujeiti/2253.