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- Vol. 4 Issue 2
- Article
Apple Leaf Disease Prediction Using Deep Learning Models
Authors
1,6Assistant Professor, Department of Computer Science and Engineering, Rathinam Technical Campus, Coimbatore, Tamilnadu, India. 2,3,4,5 UG-Students, Department of Computer Science and Engineering, Rathinam Technical Campus, Coimbatore, Tamilnadu, India.
Article Information
- Published In
- Volume 4, Issue 2 (2024)
- Published Online
- March-April 2024
- Pages
- 53-58
- Article Type
- Research Article
References
[1] S. Chakraborty, S. Paul and M. Rahat-uz-Zaman, "Prediction of Apple Leaf Diseases Using Multiclass Support Vector Machine," 2021 2nd
International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021, pp. 147-151
[2] Hee-Jin Yu, & Chang-Hwan Son. (2019). Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural
Network. Cornell University - ArXiv.
[3] Sanjeevi Pandiyan, Ashwin, M., Manikandan, R., Karthick Raghunath, K. M., & Anantha Raman, G. R. (2020). Heterogeneous Internet of
things organization Predictive Analysis Platform for Apple Leaf Diseases Recognition. Computer Communications, 154, 99–110.
[4] M. Agarwal, R. K. Kaliyar, G. Singal and S. K. Gupta, "FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease
identification on Apple's leaf dataset," 2019 12th International Conference on Information & Communication Technology and System (ICTS),
2019, pp. 246-251.
[5] Fang, T., Chen, P., Zhang, J., & Wang, B. (2019). Identification of Apple Leaf Diseases Based on Convolutional Neural Network. Intelligent
Computing Theories and Application, 553–564.
[6] Yu, H., Cheng, X., Chen, C., Heidari, A. A., Liu, J., Cai, Z., & Chen, H. (2022, January 28). Apple leaf disease recognition method with
improved residual network - multimedia tools and applications. SpringerLink. Springer US.
[7] P. Jiang, Y. Chen, B. Liu, D. He and C. Liang, "Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on
Improved Convolutional Neural Networks," in IEEE Access, vol. 7, pp. 59069-59080, 2019.
[8] Di, J., & Li, Q. (2022). A method of detecting Apple leaf diseases based on improved convolutional neural network. PLOS ONE, 17(2),
e0262629.
[9] Li, L., Zhang, S., & Wang, B. (2021). Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight
Convolutional Networks. Sensors, 22(1), 173.
[10] Yadav, D., Akanksha, & Yadav, A. K. (2020). A Novel Convolutional Neural Network Based Model for Recognition and Classification of
Apple Leaf Diseases. Traitement Du Signal, 37(6), 1093–1101.
International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021, pp. 147-151
[2] Hee-Jin Yu, & Chang-Hwan Son. (2019). Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural
Network. Cornell University - ArXiv.
[3] Sanjeevi Pandiyan, Ashwin, M., Manikandan, R., Karthick Raghunath, K. M., & Anantha Raman, G. R. (2020). Heterogeneous Internet of
things organization Predictive Analysis Platform for Apple Leaf Diseases Recognition. Computer Communications, 154, 99–110.
[4] M. Agarwal, R. K. Kaliyar, G. Singal and S. K. Gupta, "FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease
identification on Apple's leaf dataset," 2019 12th International Conference on Information & Communication Technology and System (ICTS),
2019, pp. 246-251.
[5] Fang, T., Chen, P., Zhang, J., & Wang, B. (2019). Identification of Apple Leaf Diseases Based on Convolutional Neural Network. Intelligent
Computing Theories and Application, 553–564.
[6] Yu, H., Cheng, X., Chen, C., Heidari, A. A., Liu, J., Cai, Z., & Chen, H. (2022, January 28). Apple leaf disease recognition method with
improved residual network - multimedia tools and applications. SpringerLink. Springer US.
[7] P. Jiang, Y. Chen, B. Liu, D. He and C. Liang, "Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on
Improved Convolutional Neural Networks," in IEEE Access, vol. 7, pp. 59069-59080, 2019.
[8] Di, J., & Li, Q. (2022). A method of detecting Apple leaf diseases based on improved convolutional neural network. PLOS ONE, 17(2),
e0262629.
[9] Li, L., Zhang, S., & Wang, B. (2021). Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight
Convolutional Networks. Sensors, 22(1), 173.
[10] Yadav, D., Akanksha, & Yadav, A. K. (2020). A Novel Convolutional Neural Network Based Model for Recognition and Classification of
Apple Leaf Diseases. Traitement Du Signal, 37(6), 1093–1101.
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