EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 79 (2025) ITM Web Conf., 79 (2025) 01047 References
Error
  • The authentification system partialy failed, sorry for the inconvenience. Please try again later.
Open Access
Issue
ITM Web Conf.
Volume 79, 2025
International Conference on Knowledge Engineering and Information Systems (KEIS-2025)
Article Number 01047
Number of page(s) 7
DOI https://doi.org/10.1051/itmconf/20257901047
Published online 08 October 2025
  1. S. Aboelenin, F.A. Elbasheer, M.M. Eltoukhy, W.M. El-Hady, K.M. Hosny, A hybrid framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer. Complex Intell. Syst. 11, 142 (2025). https://doi.org/10.1007/s40747-024-01764-x [Google Scholar]
  2. A. Bilal, J.A. Khan, A. Alzahrani, K. Almohammadi, M. Alamri, X. Liu, Fuzzy deep learning architecture for cucumber plant disease detection and classification. J. Big Data 12, 117 (2025). https://doi.org/10.1186/s40537-025-01156-z [Google Scholar]
  3. I. Bouacida, B. Farou, L. Djakhdjakha, H. Seridi, M. Kurulay, Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves. Inf. Process. Agric. 12, 54–67 (2025). https://doi.org/10.1016/j.inpa.2024.03.002 [Google Scholar]
  4. N. Nigar, H.M. Faisal, M. Umer, O. Oki, J.M. Lukose, Improving plant disease classification with deep-learning-based prediction model using explainable artificial intelligence. IEEE Access 12, 100005–100014 (2024). https://doi.org/10.1109/ACCESS.2024.3428553 [Google Scholar]
  5. K. Mahadevan, A. Punitha, J. Suresh, Automatic recognition of rice plant leaf diseases detection using deep neural network with improved threshold neural network. e-Prime Adv. Electr. Eng. Electron. Energy 8, 100534 (2024). https://doi.org/10.1016/j.prime.2024.100534 [Google Scholar]
  6. S. Bhagat, M. Kokare, V. Haswani, P. Hambarde, T. Taori, P.H. Ghante, D.K. Patil, Advancing realtime plant disease detection: A lightweight deep learning approach and novel dataset for pigeon pea crop. Smart Agric. Technol. 7, 100408 (2024). https://doi.org/10.1016/j.atech.2024.100408 [Google Scholar]
  7. J.G. Kotwal, R. Kashyap, P.M. Shafi, Artificial driving based EfficientNet for automatic plant leaf disease classification. Multimed. Tools Appl. 83, 38209–38240 (2024). https://doi.org/10.1007/s11042-023-16882-w [Google Scholar]
  8. K. Mahadevan, A. Punitha, J. Suresh, A novel rice plant leaf diseases detection using deep spectral generative adversarial neural network. Int. J. Cogn. Comput. Eng. 5, 237–249 (2024). https://doi.org/10.1016/j.ijcce.2024.05.004 [Google Scholar]
  9. W. Macdonald, Y.A. Sari, M. Pahlevani, Grow- light smart monitoring system leveraging lightweight deep learning for plant disease classification. Artif. Intell. Agric. 12, 44–56 (2024). https://doi.org/10.1016/j.aiia.2024.03.003 [Google Scholar]
  10. M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, M.K. Ishak, Optimal fuzzy deep neural networks based plant disease detection and classification on UAV-based remote sensed data. IEEE Access. 12, 162131–162144 (2024). https://doi.org/10.1109/ACCESS.2024.3488751 [Google Scholar]
  11. M. Srivastava, J. Meena, Plant leaf disease detection and classification using modified transfer learning models. Multimed. Tools Appl. 83, 3841138441 (2024). https://doi.org/10.1007/s11042-023-16929-y [Google Scholar]
  12. M. Rezaei, D. Diepeveen, H. Laga, M.G. Jones, F. Sohel, Plant disease recognition in a low data scenario using few-shot learning. Comput. Electron. Agric. 219, 108812 (2024). https://doi.org/10.1016/j.compag.2024.108812 [Google Scholar]
  13. A. Zhang, W. Liu, Plant disease detection using an innovative Swin-Axial transformer. IEEE Access. 13, 111938–111952 (2025). https://doi.org/10.1109/ACCESS.2025.3578486 [Google Scholar]
  14. I. Kaushik, N. Prakash, A. Jain, Plant disease detection using a depth-wise separable-based adaptive deep neural network. Multimed. Tools Appl. 84, 887–915 (2025). https://doi.org/10.1007/s11042-024-19047-5 [Google Scholar]
  15. W. Shafik, A. Tufail, C. De Silva Liyanage, R.A.A.H.M. Apong, Using transfer learning-based plant disease classification and detection for sustainable agriculture. BMC Plant Biol. 24, 136 (2024). https://doi.org/10.1186/s12870-024-04825-y [Google Scholar]
  16. PlantVillage dataset link: https://www.kaggle.com/datasets/emmarex/plantdisease (Accessed on 25.08.2025) [Google Scholar]
  17. PlantDoc dataset link: https://www.kaggle.com/datasets/abdulhasibuddin/plant-doc-dataset (Accessed on 25.08.2025) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.