Emerging Trends in Deep Learning Models for Plant Disease Detection: A Review
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8398-8_13
Reference23 articles.
1. Arun Pandian et al. (2022) Plant disease detection using deep convolutional neural network. Appl Sci 12(14):6982. doi: https://doi.org/10.3390/app12146982
2. Schwarz Schuler et al. (2022) Color-aware two-branch DCNN for efficient plant disease classification. MENDEL 28(1):55–62. doi: https://doi.org/10.13164/mendel.2022.1.055
3. Go¨eau H, Lee SH, Bonnet P, Joly A (2020) Attention-based recurrent neural net- work for plant disease classification. Front Plant Sci 14(11):601250. https://doi.org/10.3389/fpls.2020.601250
4. Disha G, Alam M (2022) Integration of convolutional neural networks and recurrent neural networks for foliar disease classification in apple trees. Int J Adv Comput Sci Appl 13(4). doi:https://doi.org/10.14569/IJACSA.2022.0130442
5. Bi L, Hu G (2020) Improving image-based plant disease classification with generative adversarial network under limited training set. Front Plant Sci 11:583438
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