Low complexity image enhancement GAN-based algorithm for improving low-resolution image crop disease recognition and diagnosis
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/s11042-022-12256-w.pdf
Reference60 articles.
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2. Agarwal M, Singh A, Arjaria S, Sinha A, Gupta S (2020) ToLeD: tomato leaf disease detection using convolution neural network. Proc Comput Sci 167:293–301. https://doi.org/10.1016/j.procs.2020.03.225
3. Agustsson E, Timofte R (2017) NTIRE 2017 challenge on single image super-resolution: dataset and study. In: 2017 IEEE conference on computer vision and pattern recognition workshops (CVPRW), pp 1122–1131
4. Arnal Barbedo JG (2019) Plant disease identification from individual lesions and spots using deep learning. Biosyst Eng 180:96–107. https://doi.org/10.1016/j.biosystemseng.2019.02.002
5. Arsenovic M, Karanovic M, Sladojevic S et al (2019) Solving current limitations of deep learning based approaches for plant disease detection. Symmetry (Basel):11. https://doi.org/10.3390/sym11070939
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