A Fuzzy-Based Vision Transformer Model for Tea Leaf Disease Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1923-5_18
Reference19 articles.
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2. Alzahrani MS, Alsaade FW (2023) Transform and deep learning algorithms for the early detection and recognition of tomato leaf disease. Agronomy 13(5):1184. https://doi.org/10.3390/agronomy13051184
3. Fu X, Ma Q, Yang F, Zhang C, Zhao X, Chang F, Han L (2023) Crop pest image recognition based on the improved ViT method. Inform Process Agricult. https://doi.org/10.1016/j.inpa.2023.02.007
4. Alshammari H, Gasmi K, Ben Ltaifa I, Krichen M, Ben Ammar L, Mahmood MA(2022) Olive disease classification based on vision transformer and CNN models. Comput Intell Neurosci.https://doi.org/10.1155/2022/3998193
5. Thakur PS, Khanna P, Sheorey T, Ojha A (2022) Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT. arXiv preprint arXiv:2207.07919. https://doi.org/10.48550/arXiv.2207.07919
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