Potato Leaf Disease Classification Using Federated Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53082-1_16
Reference26 articles.
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2. Agarwal, M., Gupta, S.K., Biswas, K.: Development of efficient CNN model for tomato crop disease identification. Sustain. Comput. Inform. Syst. 28, 100407 (2020). https://doi.org/10.1016/j.suscom.2020.100407
3. Agarwal, M., Singh, A., Arjaria, S., Sinha, A., Gupta, S.: ToLeD: Tomato leaf disease detection using convolution neural network. Procedia Comput. Sci. 167, 293–301 (2020). ISBN 1877-0509
4. Arya, S., Singh, R.: A comparative study of CNN and AlexNet for detection of disease in potato and mango leaf. In: 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), Ghaziabad, India, pp. 1–6. IEEE (2019). https://doi.org/10.1109/ICICT46931.2019.8977648. https://ieeexplore.ieee.org/document/8977648/
5. Eser, S.: A deep learning based approach for the detection of diseases in pepper and potato leaves. Anadolu Tarım Bilimleri Dergisi 36(2), 167–178 (2021)
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