AI-Powered Fish Finding for Sustainable Fisheries

Authors

  • S Aswitha UG Scholar, Dept. of AI&DS, Hindusthan Institute of Tech., Coimbatore, Tamil Nadu, India. Author
  • S Maheshwari UG Scholar, Dept. of AI&DS, Hindusthan Institute of Tech., Coimbatore, Tamil Nadu, India. Author
  • B Sabitha UG Scholar, Dept. of AI&DS, Hindusthan Institute of Tech., Coimbatore, Tamil Nadu, India. Author
  • M Yogeswaran UG Scholar, Dept. of AI&DS, Hindusthan Institute of Tech., Coimbatore, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0195

Keywords:

IoT-enabled, Real-time monitoring, AI-powered identification, Hyper-local alerts

Abstract

Fishermen have always relied on their gut and instincts to navigate the fickle ocean — what if technology could give them a superpower? Say hello to "Smart Fisher": a project that brings centuries of tradition together with advanced technology, using IOT buoys and onboard boat sensors (sonar and thermal cameras) to track the fish movement in the creek in real-time, cutting out guesswork with precision accuracy. Fishing crews receive hyper-local weather forecasts (storm warnings, optimal fishing windows of opportunity, etc.) via a very basic mobile app, and they can even utilize the app for AI-based fish identification — just take a picture of what they caught, and they will immediately know its market value, demand points and best practices on how to catch it. And through marrying satellite data, machine learning and crowd-sourced price fluctuation, not only are we saving lives on the sea but we're upgrading livelihoods, cutting waste and building resilience amongst fishermen communities internationally. It is technology that strengthens tradition — does not supplant it. We allow fishers to fish better, more rewardingly and securely, turning uncertainty into precision.

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Published

2025-04-16

How to Cite

AI-Powered Fish Finding for Sustainable Fisheries. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(04), 1368-1372. https://doi.org/10.47392/IRJAEH.2025.0195

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