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Research Article

Apple Leaf Disease Prediction Using Deep Learning Models

  • Paper ID 119
  • Volume 4, Issue 2
  • Pages 53-58
  • Published Online: March-April 2024
  • 7 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Poorna Prakash S1
  • Shanthini M2
  • Amrish Manickraj J3
  • Hariharan A4
  • Naresh S5
  • Suresh kumar A6

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 Online
March-April 2024
Pages
53-58
Article Type
Research Article
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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.
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  • ISSN 2583-1240
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