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Development of a UAV-based crop disease detection system using deep learning algorithms to enhance precision agriculture Cover

Development of a UAV-based crop disease detection system using deep learning algorithms to enhance precision agriculture

International Journal on Smart Sensing and Intelligent Systems
Volume 19 (2026): Issue 1 (January 2026)
By:  and    
Open Access
|May 2026
Figures & tables

Figures & Tables

Figure 1:

Proposed cotton leaf disease detection framework. AMF, adaptive median filtering; CLAHE, contrast-limited adaptive histogram equalization; DQL, Deep Q-Learning.

Figure 2:

Sample pre-processed images for different disease types. CLAHE, contrast-limited adaptive histogram equalization.

Figure 3:

Architecture of the Swin Transformer model.

Figure 4:

t-SNE visualization of Swin Transformer features.

Figure 5:

Performance metrics comparison.

Figure 6:

Comparison of FNR and FPR.

Figure 7:

PR curve for plant conditions. PR, precision-recall; AP, average precision.

Figure 8:

ROC curve for plant conditions. AUC, area under the curve.

Figure 9:

Model accuracy over epochs.

Figure 10:

Model loss over epochs.

Comparison of cotton leaf disease detection models

TechniquesAccuracyPrecisionRecallF1-Score
Proposed0.99300.99290.99280.9928
[35]0.870.880.850.87
[36]0.960.97450.96890.9845
[37]-0.9480.931-
DOI: https://doi.org/10.2478/ijssis-2026-0031 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Dec 23, 2025
Published on: May 29, 2026
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
UAV-based monitoring,
precision agriculture,
cotton leaf disease,
Swin Transformer,
ConvNeXt-V2,
SE-BiLSTM,
Deep Q-Learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 Rupanjal Debbarma, Aditya Sankar Sengupta, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)