Classification and Detection of Plant Leaf Diseases Using Various Deep Learning Techniques and Convolutional Neural Network

Author:

Mazumder Partha P.,Hossain Monuar,Riaz Md Hasnat

Publisher

Springer International Publishing

Reference24 articles.

1. Sastry, K.S.: Plant Virus and Viroid Diseases in the Tropics, vol. II. Springer, Heidelberg (2013). https://doi.org/10.1007/978-94-007-7820-7

2. Tai, A.P., Martin, M.V., Heald, C.L.: Threat to future global food security from climate change and ozone air pollution. Nat. Clim. Chang 4, 817–821 (2014). https://doi.org/10.1038/nclimate2317

3. Report of the Plenary of the Intergovernmental Science-PolicyPlatform on Biodiversity Ecosystem Services on the work of its fourth session (2016). Plenary of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services Fourth session. Kuala Lumpur. http://www.ipbes.net/sites/default/files/downloads/pdf/IPBES-4-4-19-Amended-Advance.pdf. Accessed 04 Jan 2021

4. Strange, R.N., Scott, P.R.: Plant disease: a threat to global food security. Phytopathology 43, 83–116 (2005). https://doi.org/10.1146/annurev.phyto.43.113004.133839

5. Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1–9 (2012)

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