IJMS_2025v15n1

International Journal of Marine Science, 2025, Vol.15, No.1, 28-34 http://www.aquapublisher.com/index.php/ijms 34 Malik H., Naeem A., Hassan S., Ali F., Naqvi R.A., and Yon D.K., 2023, Multi-classification deep neural networks for identification of fish species using camera captured images, PLoS ONE, 18(4): e0284992. https://doi.org/10.1371/journal.pone.0284992 Naz S., Chatha A., and Khan R., 2023, Pragmatic applications of DNA barcoding markers in identification of fish species – a review, Annals of Animal Science, 23: 363-389. https://doi.org/10.2478/aoas-2022-0073 Rauf H.K., Lali M.I.U., Zahoor S.Z.H., Shah S., Rehman A.U., and Bukhari S.A.C., 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 Ren L.R., Tian Y., Yang X.Y., Wang Q., Wang L.S., Geng X., Wang K.Q., Du Z.F., Li Y., and Lin H., 2022, Rapid identification of fish species by laser-induced breakdown spectroscopy and Raman spectroscopy coupled with machine learning methods, Food Chemistry, 400: 134043. https://doi.org/10.1016/j.foodchem.2022.134043 Sueker M., Daghighi A., Akhbardeh A., Mackinnon N., Bearman G., Baek I., Hwang C., Qin J., Tabb A., Roungchun J., Hellberg R., Vasefi F., Kim M., Tavakolian K., and Zadeh H., 2023, A novel machine-learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy, Sensors, 23(22): 9062. https://doi.org/10.3390/s23229062 Wang C.Z., Ma Z.H., Cao K., Wang X., Xi R., Jiang T., Yang R., and Xing Y.C., 2024, Species diversity of fish at the Wuzhizhou Island South China Sea based on environmental DNA, Biodiversity Data Journal, 12: e127120. https://doi.org/10.3897/BDJ.12.e127120 Wenne R., 2023, Single nucleotide polymorphism markers with applications in conservation and exploitation of aquatic natural populations, Animals, 13(6): 1089. https://doi.org/10.3390/ani13061089 Wu J.N., 2024, Interpretation of ensemble forecasting study on the response of fish distribution in the Yellow and Bohai Seas of China to climate change, International Journal of Marine Science, 14(1): 1-5. https://doi.org/10.5376/ijms.2024.14.0001 Xi R., Gao W., Wang X., and Xing Y., 2022, Species diversity of coral reef fishes around the West Island of Sanya City South China Sea based on environmental DNA, Biodiversity Data Journal, 10: e89685. https://doi.org/10.3897/BDJ.10.e89685 Xie Y.J., Xiang J., Li X.Y., and Yang C., 2024, An intelligent fishery detection method based on cross-domain image feature fusion, Fishes, 9(9): 338. https://doi.org/10.3390/fishes9090338 Xiong W., Wang Q., Xie D., Fletcher D.H., and He D., 2018, Factors influencing tropical Island freshwater fishes: species status threats and conservation in Hainan Island, Knowledge and Management of Aquatic Ecosystems, 419: 6. https://doi.org/10.1051/KMAE/2017054 Xu L., Wang X., Damme K., Huang D., Li Y., Wang L., Ning J., and Du F., 2021, Assessment of fish diversity in the South China Sea using DNA taxonomy, Fisheries Research, 233: 105771. https://doi.org/10.1016/j.fishres.2020.105771 Yang L., Liu Y., Yu H., Fang X., Song L., Li D., and Chen Y., 2020, Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review, Archives of Computational Methods in Engineering, 28: 2785-2816. https://doi.org/10.1007/s11831-020-09486-2 Zhang J.X., Xu L., Du F.Y., Tang Q.H., Wang L.G., Ning J.J., Huang D., Li Y., Liu S.S., and Wang X.H., 2023, DNA barcoding of marine fish species in the waters surrounding Hainan Island northern South China Sea, Frontiers in Marine Science, 10: 1249073. https://doi.org/10.3389/fmars.2023.1249073

RkJQdWJsaXNoZXIy MjQ4ODYzNA==