AI-Powered Fish Finding for Sustainable Fisheries

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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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-04-16
DOI
https://doi.org/10.47392/irjaeh.2025.0195
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Fish Finding for Sustainable Fisheries

Shweta Maheshwari, S Aswitha, B Sabitha, M Yogeswaran
1 links
International Research Journal on Advanced Engineering Hub (IRJAEH)
Water Quality Monitoring Technologies
article

AI-Powered Fish Finding for Sustainable Fisheries

Shweta Maheshwari, S Aswitha, B Sabitha, M Yogeswaran
article en

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.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(04)
Hindustan Institute of Technology and Science (IN)
Openalex Percentile: Top 91%
Water Quality Monitoring Technologies
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AI-Powered Fish Finding for Sustainable Fisheries — Shweta Maheshwari, S Aswitha, et al. · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS