Detection of plant leaf diseases using deep convolutional neural network models-Reference-Cited by-同舟云学术

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Detection of plant leaf diseases using deep convolutional neural network models

Published:2024-01-16 Issue:24 Volume:83 Page:64533-64549
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Singla Puja,Kalavakonda Vijaya^ORCID,Senthil Ramalingam^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-18099-3.pdf

Reference59 articles.

1. Lee SH, Goëau H, Bonnet P, Joly A (2020) New perspectives on plant disease characterization based on deep learning. Comput Electron Agric 170:105220. https://doi.org/10.1016/j.compag.2020.105220

2. Fisher MC, Gurr SJ, Cuomo CA, Blehert DS, Jin H et al (2020) Threats posed by the fungal kingdom to humans, wildlife, and agriculture. MBio 11(3). https://doi.org/10.1128/mBio.00449-20

3. Gui P, Dang W, Zhu F, Zhao Q (2021) Towards automatic field plant disease recognition. Comput Electron Agric 191:106523. https://doi.org/10.1016/j.compag.2021.106523

4. Astani M, Hasheminejad M, Vaghefi M (2022) A diverse ensemble classifier for tomato disease recognition. Comput Electron Agric 198:107054. https://doi.org/10.1016/j.compag.2022.107054

5. Fan X, Luo P, Mu Y, Zhou R, Tjahjadi T, Ren Y (2022) Leaf image based plant disease identification using transfer learning and feature fusion. Comput Electron Agric 196:106892. https://doi.org/10.1016/j.compag.2022.106892

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1. Optimizing Edge AI for Tomato Leaf Disease Identification;Engineering, Technology & Applied Science Research;2024-08-02

2. Towards sustainable agriculture: Harnessing AI for global food security;Artificial Intelligence in Agriculture;2024-06

3. Deep Learning Based Crop Yield Prediction and Disease Identification;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

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