78acf35e-e538-423f-83df-4c33a080c22b beie director@blueeyesintelligence.org 10.35940/ijitee.L9332.11111222 https://nfdb.gov.in/PDF/Fish%20&%20Fisheries%20of%20India/1.Fish%20and%20Fisheries%20of%20India.pdfhttps://incois.gov.in/MarineFisheries/TextDataHome?mfid=1&request_locale=enApplied Computational Intelligence and Soft Computing 2020Cui202010.1155/2020/3738108Fish detection using deep learningCui, S., Zhou, Y., Wang, Y., & Zhai, L. (2020). Fish detection using deep learning. Applied Computational Intelligence and Soft Computing, 2020./ [CrossRef]10.14569/IJACSA.2021.0120312Rum, S. N. M., & Nawawi, F. A. Z. (2021). FishDeTec: A fish identification application using image recognition approach. International Journal of Advanced Computer Science and Applications, 12(3) [CrossRef]Computers and electronics in agriculture 167 105075Rauf201910.1016/j.compag.2019.105075Visual features based automated identification of fish species using deep convolutional neural networksRauf, H. T., Lali, M. I. U., Zahoor, S., Shah, S. Z. H., Rehman, A. U., & 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. [CrossRef]https://play.google.com/store/apps/details?id=com.fishverifyhttps://play.google.com/store/apps/details?id=com.seabook.app&hl=en&gl=UShttps://play.google.com/store/apps/details?id=e.fish.natureai&hl=en&gl=UShttps://play.google.com/store/apps/details?id=fish.identi.twa&hl=en&gl=UShttps://teachablemachine.withgoogle.com/