Open Access
| Issue |
E3S Web Conf.
Volume 692, 2026
3rd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2025)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 9 | |
| Section | Artificial Intelligence and Human-Computer Interaction | |
| DOI | https://doi.org/10.1051/e3sconf/202669203006 | |
| Published online | 04 February 2026 | |
- Suji, T. K. V., G. R., G. R., D. D., An automatic detection of citrus fruits and leaves diseases using CNN, in Proc. 2024 2nd Int. Conf. Sustainable Computing and Smart Systems (ICSCSS), Trichy, India (2024) 1552–1558. https://doi.org/10.1109/ICSCSS60660.2024.10625046. [Google Scholar]
- P. Kaushik, P. Sharma, Automated detection and classification of orange diseases using DenseNet121: A deep learning approach, in Proc. 4th Int. Conf. ICT Business Industry & Government (ICTBIG 2024) (2024). https://doi.org/10.1109/ICTBIG64922.2024.10911088. [Google Scholar]
- S. H. Emon, I. K. Islam, T. J. Nahin, A. M. Ahmed, N. T. Orchi, M. A. Alam, S. M. Dipto, SmartCitrus: An efficient deep learning approach for real-time detection and classification of citrus leaf diseases, in Proc. 2024 Int. Conf. Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh (2024) 1–8. https://doi.org/10.1109/ICACCESS61735.2024.10499517 [Google Scholar]
- Mohanty, D. P. Hughes, M. Salathé, Using deep learning for image-based plant disease detection, Front. Plant Sci. 7, 1419 (2016). https://doi.org/10.3389/fpls.2016.01419. [CrossRef] [Google Scholar]
- S. Sladojevic, M. Arsenovic, A. Anderla, D. Culibrk, D. Stefanovic, Deep neural networks-based recognition of plant diseases by leaf image classification, Comput. Intell. Neurosci. 2016, 3289801 (2016), https://doi.org/10.1155/2016/3289801 [Google Scholar]
- K. P. Ferentinos, Deep learning models for plant disease detection and diagnosis, Comput. Electron. Agric. 145, 311–318 (2018). https://doi.org/10.1016/j.compag.2018.01.009 [CrossRef] [Google Scholar]
- Y. L. Too, C. Yujian, N. Njuki, Deep convolutional neural networks for plant disease detection, Machines 7, 6 (2019), https://doi.org/10.3390/machines7010006 [Google Scholar]
- S. Chen, Y. Zhang, X. Chen, Y. Tan, Attention-based EfficientNet for plant leaf disease identification, Agron. 12, 324 (2022). https://doi.org/10.3390/agronomy12020324 [Google Scholar]
- J. Rangarajan, R. Purushothaman, Disease classification in eggplant leaves using hybrid deep learning model, Inf. Process. Agric. 8, 272–281 (2021). https://doi.org/10.1016/j.inpa.2020.07.006 [Google Scholar]
- H. Rahman, K. Mahmud, S. Islam, Plant disease classification using transfer learning-based EfficientNet, J. King Saud Univ. Comput. Inf. Sci. 34, 4923–4932 (2022). https://doi.org/10.1016/j.jksuci.2021.09.008 [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.