Voice and Bangla Text-Based Multimodal Disease Detection and Recommendation System for Rice Leaf Disease
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7711-6_39
Reference20 articles.
1. Al Amin, M.A., Islam, M.T., Kibria, S., Rahman, M.S.: Continuous Bengali speech recognition based on deep neural network. In: 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE). pp. 1–6. IEEE (2019)
2. Andrianto, H., Faizal, A., Armandika, F., et al.: Smartphone application for deep learning-based rice plant disease detection. In: 2020 International Conference on Information Technology Systems and Innovation (ICITSI), pp. 387–392. IEEE (2020)
3. Bhattacharya, S., Mukherjee, A., Phadikar, S.: A deep learning approach for the classification of rice leaf diseases. Intell. Enabled Res. DoSIER 2019, 61–69 (2020)
4. Ghosal, S., Sarkar, K.: Rice leaf diseases classification using CNN with transfer learning. In: 2020 IEEE Calcutta Conference (CALCON), pp. 230–236. IEEE (2020)
5. Hasan, M.J., Mahbub, S., Alom, M.S., Nasim, M.A.: Rice disease identification and classification by integrating support vector machine with deep convolutional neural network. In: 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), pp. 1–6. IEEE (2019)
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