A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25088-0_40
Reference58 articles.
1. Saleem, M.H., Potgieter, J., Arif, K.M.: Plant disease detection and classification by deep learning. Plants 8(11), 468 (2021)
2. Guan, X.: A novel method of plant leaf disease detection based on deep learning and convolutional neural network. In: 6th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 816–819 (2021). https://doi.org/10.1109/ICSP51882.2021.9408806
3. Kawasaki, Y., Uga, H., Kagiwada, S., Iyatomi, H.: Basic study of automated diagnosis of viral plant diseases using convolutional neural networks. International Symposium on Visual Computing, pp. 638–645 (2015). https://doi.org/10.1007/978-3-319-27863-6_59
4. Brahimi, M., Arsenovic, M., Laraba, S., Sladojevic, S., Boukhalfa, K., Moussaoui, A.: Deep learning for plant diseases: detection and saliency map visualisation. In: Human and machine learning, pp. 93–117 (2017). https://doi.org/10.1007/978-3-319-90403-0_6
5. Jasim, M.A., Al-Tuwaijari, J.M.: Plant leaf diseases detection and classification using image processing and deep learning techniques. In: International Conference on Computer Science and Software Engineering (CSASE), pp. 259–265 (2020)
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