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Smart Agriculture: Leaf Disease Detection and Treatment Recommendation System
Authors
1 3 4 5 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India. 2 Assistant Professor, Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 170-174
- Article Type
- Research Article
- Check for updates
-
References
1. V. C. P., T. R., B. R. Ramji, K. P., and S. Kumar D. S., “Plant Leaf Disease Detection Using Machine Learning Models,”
in Proc. 2025 IEEE 3rd International Conference on Knowledge Engineering and Communication Systems (ICKECS), India, 2025,doi:10.1109/ICKECS65700.2025.11035743
2. K . R. Kusuma and R. Rajkumar, “Detection of Plant Leaf Diseases Using Machine Learning Techniques and CNN,” in Proc. 2025 6th Int. Conf. on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), India, 2025, pp. 398–403, doi:10.1109/ICICV64824.2025.11085592.
3. V. C. P., T. R., B. R. Ramji, K. P., and S. Kumar D. S., “Plant Leaf Disease Detection Using Machine Learning Models,” in Proc. 2025 IEEE 3rd Int. Conf. on Knowledge Engineering and Communication Systems (ICKECS), India, 2025,doi:10.1109/ICKECS65700.2025.11035743.
4. S. N. Ghaiwat and P. Arora, “Plant Disease Detection Using Image Processing Techniques,”
IJARCCE, vol. 12, no. 4, pp. 787–794, Apr. 2023, doi:10.17148/IJARCCE.2023.124137.
5. N. Shelar, S. Shinde, S. Sawant, S. Dhumal, and K. Fakir, “Plant Disease Detection Using CNN,”in ITM Web of Conferences, vol. 44, Art. no. 03049, 2022,doi:10.1051/itmconf/20224403049
6. P. Kulkarni, A. Karwande, T. Kolhe, S. Kamble, and A. Joshi,“Plant Disease Detection Using Image Processing and Machine Learning,” in Proc. Int. Conf., Pune, India, 2019.
7. S. Sladojevic, M. Arsenovic, A. Anderla, D. Culibrk, and D. Stefanovic,“Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification,”Computational Intelligence and Neuroscience, 2016.
8. M. Tan and Q. Le,“EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,”in Proc. 36th International Conference on Machine Learning (ICML), 2019. doi:10.48550/arXiv.1905.11946
9. K. P. Ferentinos, “Deep learning models for plant disease detection and diagnosis,”Computers and Electronics in Agriculture, vol. 145, pp. 311–318, 2018. doi:10.1016/j.compag.2018.01.009
10. A. Too, L. Yujian, S. Njuki, and L. Yingchun, “A comparative study of fine-tuning deep learning models for plant disease identification,” Computers and Electronics in Agriculture, vol. 161, pp. 272–279, 2019. doi:10.1016/j.compag.2018.03.032
11. S. Mohanty, D. Hughes, and M. Salathé,“Using deep learning for image-based plant disease detection,” Frontiers in Plant Science, vol. 7, 2016. doi:10.3389/fpls.2016.0141
in Proc. 2025 IEEE 3rd International Conference on Knowledge Engineering and Communication Systems (ICKECS), India, 2025,doi:10.1109/ICKECS65700.2025.11035743
2. K . R. Kusuma and R. Rajkumar, “Detection of Plant Leaf Diseases Using Machine Learning Techniques and CNN,” in Proc. 2025 6th Int. Conf. on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), India, 2025, pp. 398–403, doi:10.1109/ICICV64824.2025.11085592.
3. V. C. P., T. R., B. R. Ramji, K. P., and S. Kumar D. S., “Plant Leaf Disease Detection Using Machine Learning Models,” in Proc. 2025 IEEE 3rd Int. Conf. on Knowledge Engineering and Communication Systems (ICKECS), India, 2025,doi:10.1109/ICKECS65700.2025.11035743.
4. S. N. Ghaiwat and P. Arora, “Plant Disease Detection Using Image Processing Techniques,”
IJARCCE, vol. 12, no. 4, pp. 787–794, Apr. 2023, doi:10.17148/IJARCCE.2023.124137.
5. N. Shelar, S. Shinde, S. Sawant, S. Dhumal, and K. Fakir, “Plant Disease Detection Using CNN,”in ITM Web of Conferences, vol. 44, Art. no. 03049, 2022,doi:10.1051/itmconf/20224403049
6. P. Kulkarni, A. Karwande, T. Kolhe, S. Kamble, and A. Joshi,“Plant Disease Detection Using Image Processing and Machine Learning,” in Proc. Int. Conf., Pune, India, 2019.
7. S. Sladojevic, M. Arsenovic, A. Anderla, D. Culibrk, and D. Stefanovic,“Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification,”Computational Intelligence and Neuroscience, 2016.
8. M. Tan and Q. Le,“EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,”in Proc. 36th International Conference on Machine Learning (ICML), 2019. doi:10.48550/arXiv.1905.11946
9. K. P. Ferentinos, “Deep learning models for plant disease detection and diagnosis,”Computers and Electronics in Agriculture, vol. 145, pp. 311–318, 2018. doi:10.1016/j.compag.2018.01.009
10. A. Too, L. Yujian, S. Njuki, and L. Yingchun, “A comparative study of fine-tuning deep learning models for plant disease identification,” Computers and Electronics in Agriculture, vol. 161, pp. 272–279, 2019. doi:10.1016/j.compag.2018.03.032
11. S. Mohanty, D. Hughes, and M. Salathé,“Using deep learning for image-based plant disease detection,” Frontiers in Plant Science, vol. 7, 2016. doi:10.3389/fpls.2016.0141
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