An enhanced deep learning model for high-speed classification of plant diseases with bioinspired algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05622-4.pdf
Reference35 articles.
1. Food and agricultural organization: https://www.fao.org/statistics/en/. Assessed 15 Jan 2023
2. ICAR: http://www.icar.org.in. Assessed 12 Jan 2023
3. Mohanty SP, Hughes DP, Salathé M (2016) Using deep learning for image-based plant disease detection. Front Plant Sci 7:1418. https://doi.org/10.3389/fpls.2016.01419
4. Bedi P, Gole P (2021) Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network. Artif Intell Agric 5:90–101. https://doi.org/10.1016/j.aiia.2021.05.002
5. Jackulin C, Murugavalli S (2022) A comprehensive review on detection of plant disease using machine learning and deep learning approaches. Meas Sens 24:100441. https://doi.org/10.1016/j.measen.2022.100441
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