Aquaculture and Marine Monitoring AI

Whether you're farming salmon and trout in net pens, tilapia and catfish in ponds and raceways, shrimp in tanks and ponds, or shellfish and seaweed, or monitoring reefs, fish passages, and marine infrastructure, Roboflow reads the underwater and surface cameras you already have or a single camera you add, sees every fish, every pellet, and every parasite, and turns the water into data, in real time.

Fish Counting, Sizing, and Biomass:

• Count fish in pens, tanks, raceways, and fish passages from underwater and surface cameras, continuously rather than by sample, including at transfer, grading, and harvest
• Estimate length, girth, and weight per fish from stereo and mono cameras, so biomass and size distribution are measured daily instead of sampled monthly
• Track growth rate per pen and per cohort, so feed conversion, harvest timing, and grading decisions are made on measured biomass

Feeding, Health, and Welfare:

• Detect uneaten pellets falling past the fish and feeding response in the pen, so feeding stops when appetite drops rather than when the timer runs out
• Detect and count sea lice, lesions, fin damage, deformities, and cataracts on free-swimming fish, so lice counts and welfare scores are continuous and non-invasive
• Detect mortalities, abnormal swimming, schooling changes, and surface gulping, so a disease outbreak, oxygen crash, or algae event is flagged before the mort count says so

Marine, Infrastructure, and Systems Integration:

• Monitor net integrity, biofouling, mooring, and predator presence around pens, and count and identify species at fish ladders, reefs, and marine protected areas
• Detect escapes, net holes, and structural damage, so a breach is found from the camera rather than from the harvest count
• Push counts, biomass, feeding, and health data into farm management, feeding control, and regulatory reporting systems through API integration, with an image record behind every figure

Bring intelligence to every pen today.

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More About Aquaculture and Marine Monitoring

What is aquaculture monitoring with Vision AI?

Aquaculture monitoring with vision AI uses underwater and surface cameras in pens, tanks, ponds, and raceways and deep-learning models to count fish, estimate size and biomass, monitor feeding response and uneaten pellets, detect and count sea lice and other parasites, score welfare indicators like lesions and fin damage, detect mortalities and abnormal behavior, and monitor net integrity and predators. The same models extend to marine monitoring: species counting and identification at fish passages, reefs, and protected areas, and inspection of marine infrastructure. It replaces sampling with continuous measurement, and feeds counts, biomass, feeding, and health data into farm management, feeding control, and regulatory reporting. Roboflow supplies the detection and the record; your farm's biologists and managers own the feeding, treatment, and harvest decisions.

Can it integrate with our farm management and feeding systems?

Yes. Roboflow Inference (opens in a new tab) runs on an edge device at the site, on the barge or in the feed shed, and exposes a standard API and webhooks, so counts, biomass, feeding, and health data flow into your existing systems: farm management and production planning platforms, feeding control systems for pellet dosing and appetite-based feeding, environmental sensor networks for oxygen, temperature, and current, regulatory and certification reporting, and alerting into Slack, Microsoft Teams, and SMS for the site crew, through REST, MQTT, webhooks, and direct database writes.

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