A Review of Deep Learning Techniques for Identification and Diagnosis of Plant Leaf Disease-Reference-Cited by-同舟云学术

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A Review of Deep Learning Techniques for Identification and Diagnosis of Plant Leaf Disease

Published:2020-07-18 Issue: Volume: Page:435-441
ISSN:2190-3018
Container-title:Smart Trends in Computing and Communications: Proceedings of SmartCom 2020
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Author:

Jogekar Ravindra Namdeorao,Tiwari Nandita

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5224-3_43

Reference10 articles.

1. Akhtar, A., Khanum, A., Khan, S.A., Shaukat, A.: Automated plant disease analysis (APDA): performance comparison of machine learning techniques. In: 2013 11th International Conference on Frontiers of Information Technology

2. Sherly Pushpa Annabel, L., Annapooranai, T., Deepalakshmi, P.: Machine learning for plant leaf disease detection and classification—a review. In: International Conference on Communication and Signal Processing, 4–6 Apr 2019, India

3. Ramesh, S., Hebbar, R., Niveditha, M., Pooja, R., Prasad Bhat, N., Shashank, N., Vinod, P.V.: Plant disease detection using machine learning. In: 2018 International Conference on Design Innovations for 3Cs Compute Communicate Control

4. Ferentinos, K.P.: Deep learning models for plant disease detection and diagnosis. Comput. Electron. Agric. 145, 311–318 (2018)

5. Goncharov, P. Ososkov, G., Nechaevskiy, A., Uzhinskiy, A., Nestsiarenia, I.: Disease detection on the plant leaves by deep learning. In: Kryzhanovsky, B., et al. (eds.), Neuroinformatics 2018, SCI 799, pp. 151–159 (2019)

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