Plant leaf disease detection and classification using modified transfer learning models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16929-y.pdf
Reference61 articles.
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3. N. Zhu et al., “Deep learning for smart agriculture: Concepts, tools, applications, and opportunities,” Int J Agric Biol Eng, vol. 11, no. 4, pp. 21–28, 2018, doi: https://doi.org/10.25165/j.ijabe.20181104.4475.
4. Sujatha R, Chatterjee JM, Jhanjhi NZ, Brohi SN (2021) Performance of deep learning vs machine learning in plant leaf disease detection. Microprocess Microsyst 80. https://doi.org/10.1016/j.micpro.2020.103615
5. Samie F, Bauer L, Henkel J (2019) From cloud down to things: An overview of machine learning in internet of things. IEEE Internet Things J 6(3):4921–4934. https://doi.org/10.1109/JIOT.2019.2893866
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