Disease detection from cassava leaf images with deep learning methods in web environment-Reference-Cited by-同舟云学术

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Disease detection from cassava leaf images with deep learning methods in web environment

Published:2021-12-20 Issue: Volume: Page:
ISSN:2602-3350
Container-title:International Journal of 3D Printing Technologies and Digital Industry
language:
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Author:

METLEK Sedat

Publisher

International Journal of 3D Printing Technologies and Digital Industry

Subject

Marketing,Economics and Econometrics,General Materials Science,General Chemical Engineering

Reference51 articles.

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2. 2. Mohanty, S. P., Hughes, D. P., Salathé, M., "Using Deep Learning for Image-Based Plant Disease Detection", Frontiers in Plant Science, Vol. 7, Pages 1419, 2016. http://doi:10.3389/fpls.2016.01419.

3. 3. Harvey, C. A., Rakotobe, Z. L., Rao, N. S., Dave, R., Razafimahatratra, H., Rabarijohn, R. H., Rajaofara, H., MacKinnon, J. L., "Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar", Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 369, Pages 20130089, 2014. http://doi:10.1098/rstb.2013.0089.

4. 4. Savary, S., Ficke, A., Aubertot, J.-N., Hollier, C., "Crop losses due to diseases and their implications for global food production losses and food security", Food Security, Vol. 4, Pages 519–537, 2012. http://doi:10.1007/s12571-012-0200-5.

5. 5. Jiang, H., Li, X., Safara, F., "IoT-based Agriculture: Deep Learning in Detecting Apple Fruit Diseases", Microprocessors and Microsystems, , Pages 104321, 2021. http://doi:10.1016/j.micpro.2021.104321.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants;Artificial Intelligence in Agriculture;2024-06

2. A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection;Neural Computing and Applications;2023-08-17

3. Plant Disease Detection And Prevention Using Deep Learning;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

4. A Deep Learning Approach for Cassava Leaf Disease Diagnosis;SSRN Electronic Journal;2023

5. Cassava Leaf Disease Classification Using Supervised Contrastive Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

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