| International Journal of Nonlinear Analysis and Applications | ||
| Article 164, Volume 13, Issue 1, January 0, Pages 1977-1984 PDF (560.04 K) | ||
| DOI: 10.22075/ijnaa.2022.5839 | ||
| Receive Date: 21 September 2021, Accept Date: 29 November 2021 | ||
| References | ||
|
[1] S. Albawi, T.A. Mohammed and S. Al-Zawi, Understanding of a convolutional neural network, 2017 Int. Conf. Engin. Technol. (2017) 1–6. [2] J. Amara, B. Bouaziz and A. Algergawy, A deep learning-based approach for banana leaf diseases classification, BTW (Workshops), (2017) 79–88. [3] H. Chakravorty, R. Paul and P. Das, Image processing technique to detect fish disease, Int. J. Comput. Sci. Secur. 9(2) (2015) 121–131. [4] A.J. Dyck and U.R. Sumaila, Economic impact of ocean fish populations in the global fishery, J. Bioecon. 12 (2010) 227–243. [5] M. Føre, K. Frank, T. Norton, E. Svendsen, J.A. Alfredsen, T. Dempster, H. Eguiraun, W. Watson, A. Stahl, L.M. Sunde, C. Schellewald, K. Skøien, M. Alver and D. Berckmans, Precision fish farming: A new framework to improve production in aquaculture, Biosyst. Engin. 173 (2018) 176–193. [6] R. Harikrishnan, C. Balasundaram and M.S. Heo, Fish health aspects in grouper aquaculture, Aquaculture 320(1–2) (2011) 1–21. [7] D. Kamilya and K.R. John, Epizootic ulcerative syndrome, P.T.K. Woo, J.A. Leong and K. Buchmann (eds), Climate Change Infect. Fish Diseases, CABI, (2020). [8] V. Lyubchenko, R. Matarneh, V.L.O. Kobylin, Digital image processing techniques for detection and diagnosis of fish diseases, Int. J. Adv. Res. Comput. Sci. Software Engin. 6(7) (2016) 79–83. [9] S. Malik, T. Kumar and A.K. Sahoo, Image processing techniques for identification of fish disease, IEEE 2nd Int. Conf. Signal Image Proces. 2017 (2017) 55–59. [10] H. Mustafidah, Diagnosa penyakit ikan menggunakan sistem pakar, JUITA 1(4) (2011). [11] S.N. Pauzi, M.G. Hassan, N. Yusoff, N.H. Harun, A.H. Abu Bakar and B.C. Kua, A review on image processing for fish disease detection, Asian Conference on Intelligent Computing and Data Sciences (ACIDS) 2021, J. Phys. Conf. Series 1997 (2021) 012042. [12] P.K. Rao, Histopathological changes in the skin and gills of Channa punctatus due to bacterial infestation causes epizootic ulcerative syndrome (EUS), Int. J. Res. Appl. Natural Social Sci. 9(3) (2021) 29–36. [13] A. Salman, S.A. Siddiqui, F. Shafait, A. Mian, M. Shortis, K. Khurshid, A. Ulges and U. Schwanecke, Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system, ICES J. Marine Sci. 77(4) (2020) 1295–1307. [14] W.E. Smith and E.J. Smith, Forensic Digital Image Processing: Opimization of Imression Evidanc, 1en Ed., CRC Press, 2018. [15] J. Wu, Introduction to convolutional neural networks, National Key Lab for Novel Software Technol. Nanjing Univ. China 5(23) (2017) 1–31. [16] X. Yang, S. Zhang, J. Liu, Q. Gao, S. Dong and C. Zhou, Deep learning for smart fish farming: Application, opportunities and challenges, Rev. Agricul. 13(1) (2021) 66–90. [17] D. Zeldis and S. Prescott, Fish disease diagnosis program - problems and some solutions, Aquacul. Engin. 23(1–3) (2000) 3–11. | ||
|
Statistics Article View: 18,740 PDF Download: 13,302 |
||