CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16886-6.pdf
Reference65 articles.
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2. Iqbal Z, Khan MA, Sharif M et al (2018) An automated detection and classification of citrus plant diseases using image processing techniques: a review. Comput Electron Agric 153:12–32. https://doi.org/10.1016/j.compag.2018.07.032
3. Vishnoi VK, Kumar K, Kumar B (2021) Plant disease detection using computational intelligence and image processing. J Plant Dis Prot 128:19–53. https://doi.org/10.1007/s41348-020-00368-0
4. Ahila Priyadharshini R, Arivazhagan S, Arun M, Mirnalini A (2019) Maize leaf disease classification using deep convolutional neural networks. Neural Comput & Applic 31:8887–8895. https://doi.org/10.1007/s00521-019-04228-3
5. Xiang S, Liang Q, Sun W et al (2021) L-CSMS: novel lightweight network for plant disease severity recognition. J Plant Dis Prot 128:557–569. https://doi.org/10.1007/s41348-020-00423-w
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