Detection and Classification of Paddy Leaf Diseases Using Deep Learning (CNN)-Reference-Cited by-同舟云学术

Detection and Classification of Paddy Leaf Diseases Using Deep Learning (CNN)

Published:2022 Issue: Volume: Page:60-74
ISSN:1868-4238
Container-title:Computer, Communication, and Signal Processing
language:
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Author:

Maheswaran S.^ORCID,Sathesh S.^ORCID,Rithika P.,Shafiq I. Mohammed,Nandita S.,Gomathi R. D.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-11633-9_6

Reference21 articles.

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2. Bakar, M.A., Abdullah, A., Rahim, N.A., Yazid, H., Misman, S., Masnan, M.: Rice leaf blast disease detection using multi-level colour image thresholding. J. Telecommun. Electron. Comput. Eng. 10(1–15), 1–6 (2018)

3. Phadikar, S., Sil, J., Das, A.K.: Classification of rice leaf diseases based on morphological changes. Int. J. Inf. Electron. Eng. 2(3), 460–463 (2012)

4. Khirade, S.D., Patil, A.: Plant disease detection using image processing. 2015 International Conference on Computing Communication Control and Automation. IEEE (2015)

5. Suman, T., Dhruvakumar, T.: Classification of paddy leaf diseases using shape and color features. IJEEE. 7(01), 239–250 (2015)

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