Corn Leaf Disease Identification via Transfer Learning: A Comprehensive Web-Based Solution
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0327-2_32
Reference18 articles.
1. Amin H, Darwish A, Hassanien AE, Soliman M (2022) End-to-end deep learning model for corn leaf disease classification. IEEE Access 10:31103–31115. https://doi.org/10.1109/ACCESS.2022.3159678
2. Zhang Y, Wa S, Liu Y, Zhou X, Sun P, Ma Q (2021) High-accuracy detection of maize leaf diseases CNN based on multi-pathway activation function module. Remote Sens 13:4218. https://doi.org/10.3390/rs13214218
3. Bosque-Pérez NA (2000) Eight decades of maize streak virus research. Virus Res 71(1–2):107–121. https://doi.org/10.1016/s0168-1702(00)00192-1
4. Sardogan M, Tuncer A, Ozen Y (2018) Plant leaf disease detection and classification based on CNN with LVQ algorithm. In: 2018 3rd international conference on computer science and engineering (UBMK), Sept 2018. https://doi.org/10.1109/ubmk.2018.8566635
5. Qi H, Liang Y, Ding Q, Zou J (2021) Automatic identification of peanut-leaf diseases based on stack ensemble. Appl Sci 11(4):1950. https://doi.org/10.3390/app11041950
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