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Rauf, H.T., M.I.U. Lali, S. Zahoor, S.Z.H. Shah, A. Rehman, and S.A.C. Bukhari. 2019. Visual features based automated identification of fish species using deep convolutional neural networks. Computers and Electronics in Agriculture 167:105075. https://doi.org/10.1016/j.compag.2019.105075.
Reference Details:
Reference Number: 40419
Type: Journal Article
Author: Rauf, H.T., M.I.U. Lali, S. Zahoor, S.Z.H. Shah, A. Rehman, and S.A.C. Bukhari
Date (year): 2019
Article Title:Visual features based automated identification of fish species using deep convolutional neural networks
Journal Name: Computers and Electronics in Agriculture
Volume: 167
Issue:
Pages: 105075
URL:
Keywords: Hypophthalmichthys molitrix, Silver carp, Asian carp, Fish species classification, VGGNet Deeply supervised, Ctenopharyngodon idella, Grass carp, Cyprinus carpio, Common carp, deep-learning, Convolutional Neural Network (CNN)
DOI: 10.1016/j.compag.2019.105075
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Citation information: U.S. Geological Survey. [2024]. Nonindigenous Aquatic Species Database. Gainesville, Florida. Accessed [7/23/2024].

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