• Monish BS
• Bhaskar Sinha

Freshwater ecosystems are vital natural resources that serve several crucial ecological, social, and economic purposes. Different freshwater fish species are essential for the existence and abundance of ecosystems because contributions are significant to the functioning of food webs, nutrient cycling, and ecosystem services. However, keeping an eye on and managing the fish populations can be a difficult and time-consuming task that calls for specialized knowledge and tools. The study, investigating the application of artificial intelligence (AI) to recognize and categorize several freshwater fish species according to the visual traits will be carried out. The goal is to create a deep learning model which accurately identifies and categorizes fish species from photos using computer vision techniques and image processing technologies. The pertained method may prove to be a useful tool for environmental monitoring and conservation efforts, allowing researchers and resource managers follow fish populations in freshwater environments with great speed and accuracy.

Image Processing, Machine Learning, Deep Learning, Fresh Water Fish

"Indian Fresh Water Fish Species Detection Using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.f287-f308, May-2023, Available :http://www.jetir.org/papers/JETIR2305543.pdf

"Indian Fresh Water Fish Species Detection Using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppf287-f308, May-2023, Available at : http://www.jetir.org/papers/JETIR2305543.pdf