Identification of plants from the convolutional neural network
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/s11042-023-18030-w.pdf
Reference26 articles.
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3. Galdran A, Pardo D, Picon A et al (2015) Automatic red-channel underwater image restoration. J Vis´ Commun Image Represent 26:132–145
4. Girshick R, Donahue J, Darrell T et al (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. 2014 IEEE Conference on computer vision and pattern recognition, pp 580–587
5. Gould R, Arnone R, Martinolich P (1999) Spectral dependence of the scattering coefficient in case1 andcase2 waters. Appl Opt 38(12):2377–2383
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