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Original Article
Plant Disease Recognition Using Deep Learning
Mohammad Uzma Afreen1
Dr. Khaja Mahabubullahr2
1 Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2 Professor & HOD, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: July-August 2025
Pages: 44-47
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250604007
References
1. 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, vol. 2016, Article ID 3289801, 2016. doi: 10.1155/2016/3289801
2. H. Brahimi, K. Boukhalfa, and A. Moussaoui, “Deep Learning for Tomato Diseases: Classification and Symptoms Visualization,” Applied Artificial Intelligence, vol. 31, no. 4, pp. 299–315, 2017.
3. D. Mohanty, S. Sengupta, and D. Mohapatra, “Rice Leaf Disease Detection Using CNN With Transfer Learning,” in Proc. 2019 Int. Conf. on Communication and Signal Processing (ICCSP), India, 2019, pp. 0770–0774.
4. PlantVillage Dataset. [Online]. Available: https://www.plantvillage.org
5. A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” in Proc. 25th Int. Conf. on Neural Information Processing Systems (NIPS), 2012, pp. 1097–1105.
6. A. Kamilaris and F. Prenafeta-Boldú, “Deep Learning in Agriculture: A Survey,” Computers and Electronics in Agriculture, vol. 147, pp. 70–90, Apr. 2018.
7. Y. LeCun, Y. Bengio, and G. Hinton, “Deep Learning,” Nature, vol. 521, pp. 436–444, 2015.
8. P. Ferentinos, “Deep Learning Models for Plant Disease Detection and Diagnosis,” Computers and Electronics in Agriculture, vol. 145, pp. 311–318, Feb. 2018.
2. H. Brahimi, K. Boukhalfa, and A. Moussaoui, “Deep Learning for Tomato Diseases: Classification and Symptoms Visualization,” Applied Artificial Intelligence, vol. 31, no. 4, pp. 299–315, 2017.
3. D. Mohanty, S. Sengupta, and D. Mohapatra, “Rice Leaf Disease Detection Using CNN With Transfer Learning,” in Proc. 2019 Int. Conf. on Communication and Signal Processing (ICCSP), India, 2019, pp. 0770–0774.
4. PlantVillage Dataset. [Online]. Available: https://www.plantvillage.org
5. A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” in Proc. 25th Int. Conf. on Neural Information Processing Systems (NIPS), 2012, pp. 1097–1105.
6. A. Kamilaris and F. Prenafeta-Boldú, “Deep Learning in Agriculture: A Survey,” Computers and Electronics in Agriculture, vol. 147, pp. 70–90, Apr. 2018.
7. Y. LeCun, Y. Bengio, and G. Hinton, “Deep Learning,” Nature, vol. 521, pp. 436–444, 2015.
8. P. Ferentinos, “Deep Learning Models for Plant Disease Detection and Diagnosis,” Computers and Electronics in Agriculture, vol. 145, pp. 311–318, Feb. 2018.
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