ARCHIVES

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[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),
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[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),
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[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.