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Original Article
Tomato Plant Leaf Disease Classification Using Deep Learning
R. L. Ghule1
Vishakha Jadhav2
Vaishnavi Bagal3
Anjali Bhandare4
Sandhya Bondre5
1, 2,3,4,5 Department of AI & DS, Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology, Baramati, Maharashtra, India.
Published Online: May-June 2025
Pages: 69-75
Cite this article
No DOIReferences
1. H. Durmus, E. O. Gunes, and M. Kirci, “Disease detection on the leaves of the tomato plants by using deep learning,” in Proc. 6th Int.
Conf. Agro Geoinformatics, Aug. 2017, pp. 1–5.
2. A. Fuentes, S. Yoon, H. Youngki, Y. Lee, and D. S. Park, “Charac- teristics of tomato plant diseases—A study for tomato plant disease
identification,” in Proc. Int. Symp. Inf. Technol. Converg., vol. 1, 2016,pp. 226–231.
3. S. P. Mohanty, D. P. Hughes, and M. Salathe´, “Using deep learning for image-based plant disease detection,” Frontiers Plant Sci., vol.
7, Sep. 2016, Art. no. 2152.
4. H. T. Lin, Cherry Tomato ’TSS ASVEG No.22’, Taiwan Seed Improve- ment and Propagation Station, Taichung, Taiwan, 2017
5. A. H. T. Rusli, B. C. C. Meng, N. S. Damanhuri, N. A. Othman, M. H. Othman, and W. F. A. W. Zaidi, “Potato leaf disease classification
using image processing and artificial neural network,” in Proc. IEEE 12th Int. Conf. Control Syst., Comput. Eng. (ICCSCE), Oct. 2022,
pp. 107–112.
6. P. Tm, A. Pranathi, K. SaiAshritha, N. B. Chittaragi, and S. G. Koolagudi, “Tomato leaf disease detection using convolutional neural
networks,” in Proc. 11th Int. Conf. Contemp. Comput. (IC3), Aug. 2018, pp. 1–5.
7. A. Dwivedi, A. Goel, M. Raju, D. Bhardwaj, A. Sharma, F. Kidwai, N. Gupta, Y. Sharma, and S. Tayal, “Precision agriculture: Using
deep learning to detect tomato crop diseases,” in Proc. Int. Conf. Innov. Comput. Commun., Singapore: Springer, 2024, pp. 857–865.
8. M. H. Malik, T. Zhang, H. Li, M. Zhang, S. Shabbir, and A. Saeed, “Mature tomato fruit detection algorithm based on improved HSV
and watershed algorithm,” IFAC-PapersOnLine, vol. 51, no. 17, pp. 431–436,2018.
9. S. S. Rahman, M. A. Rahman, and M. R. Islam, “Automated identi- fication of tomato leaf diseases using convolutional neural
networks,”Journal of Agricultural Informatics, vol. 11, no. 2, pp. 23–35, 2020
10. J. Zhang, W. Wu, and H. Yang, “Tomato leaf disease classification using deep residual networks,” in Proc. IEEE Int. Conf. Artificial
Intelligence and Big Data (ICAIBD), 2019, pp. 231–235.
Conf. Agro Geoinformatics, Aug. 2017, pp. 1–5.
2. A. Fuentes, S. Yoon, H. Youngki, Y. Lee, and D. S. Park, “Charac- teristics of tomato plant diseases—A study for tomato plant disease
identification,” in Proc. Int. Symp. Inf. Technol. Converg., vol. 1, 2016,pp. 226–231.
3. S. P. Mohanty, D. P. Hughes, and M. Salathe´, “Using deep learning for image-based plant disease detection,” Frontiers Plant Sci., vol.
7, Sep. 2016, Art. no. 2152.
4. H. T. Lin, Cherry Tomato ’TSS ASVEG No.22’, Taiwan Seed Improve- ment and Propagation Station, Taichung, Taiwan, 2017
5. A. H. T. Rusli, B. C. C. Meng, N. S. Damanhuri, N. A. Othman, M. H. Othman, and W. F. A. W. Zaidi, “Potato leaf disease classification
using image processing and artificial neural network,” in Proc. IEEE 12th Int. Conf. Control Syst., Comput. Eng. (ICCSCE), Oct. 2022,
pp. 107–112.
6. P. Tm, A. Pranathi, K. SaiAshritha, N. B. Chittaragi, and S. G. Koolagudi, “Tomato leaf disease detection using convolutional neural
networks,” in Proc. 11th Int. Conf. Contemp. Comput. (IC3), Aug. 2018, pp. 1–5.
7. A. Dwivedi, A. Goel, M. Raju, D. Bhardwaj, A. Sharma, F. Kidwai, N. Gupta, Y. Sharma, and S. Tayal, “Precision agriculture: Using
deep learning to detect tomato crop diseases,” in Proc. Int. Conf. Innov. Comput. Commun., Singapore: Springer, 2024, pp. 857–865.
8. M. H. Malik, T. Zhang, H. Li, M. Zhang, S. Shabbir, and A. Saeed, “Mature tomato fruit detection algorithm based on improved HSV
and watershed algorithm,” IFAC-PapersOnLine, vol. 51, no. 17, pp. 431–436,2018.
9. S. S. Rahman, M. A. Rahman, and M. R. Islam, “Automated identi- fication of tomato leaf diseases using convolutional neural
networks,”Journal of Agricultural Informatics, vol. 11, no. 2, pp. 23–35, 2020
10. J. Zhang, W. Wu, and H. Yang, “Tomato leaf disease classification using deep residual networks,” in Proc. IEEE Int. Conf. Artificial
Intelligence and Big Data (ICAIBD), 2019, pp. 231–235.
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