Aquaculture

In aquaculture, an undetected outbreak can destroy an entire harvest.

Real cases of how the most advanced salmon farms and aquaculture centers use AI to monitor biomass in real time, detect disease early, and optimize feeding.

Chile is the world's second-largest salmon producer. AI is defining who leads the next decade.

The aquaculture technology market exceeds US$700 million and grows at 15% annually. Farming sites adopting AI are reducing mortality losses, optimizing feed conversion, and anticipating disease outbreaks — in an industry where margins depend on operational precision.

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reduction in mortality losses with AI-based early disease detection systems

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improvement in feed conversion ratio with AI-guided automatic feeding systems

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reduction in antibiotic use with continuous health monitoring and early detection

Real cases

What other salmon farms and aquaculture centers have already achieved

Not endless pilot projects. Production implementations, in real farming sites.

Cermaq: AI for real-time sea lice detection

FISH HEALTH

Cermaq — Noruega y Chile — sistema iFarm — 2020-2024

Cermaq implemented underwater cameras with AI to detect and count sea lice (Caligus and Lepeophtheirus) in real time, without the need for manual sampling. The system alerts when parasite load exceeds the risk threshold, enabling immediate intervention with lower medication use. Early detection reduced lice-related mortality and antiparasitic drug use.

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in antiparasitic drug use

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in mortality related to sea lice

Mowi: automatic feeding guided by computer vision

FEEDING OPTIMIZATION

Mowi — Noruega, Escocia y Canadá — sistema AquaCloud — 2021-2024

Mowi implemented underwater cameras with computer vision models that detect fish appetite in real time — based on their behavior and the amount of feed reaching the bottom — to automatically adjust the feeding rate. The result is a better feed conversion ratio (FCR) and reduced feed waste, which generates environmental problems and unnecessary costs.

-0%

in feed waste

-0%

improvement in feed conversion ratio (FCR)

SalmarAker: offshore aquaculture center with integrated AI

ADVANCED OPERATIONS

SalmarAker Blue — Noruega — plataforma Ocean Farm 1 — 2017-2024

SalmarAker operates Ocean Farm 1, the world's first offshore aquaculture platform, with AI systems integrated across all operations: biomass monitoring, automatic feeding, mortality detection, water quality, and fish behavior. The platform demonstrates that high-tech aquaculture can operate with lower environmental impact and greater control than traditional sites.

-0%

in antibiotic use vs. traditional farming

+0%

in productivity per biomass vs. traditional onshore cages

What we see for your farming site

Three concrete starting points

Not what could happen. What aquaculture sites with a similar profile are already executing.

01

Continuous health monitoring and early disease detection

Underwater cameras with computer vision models can detect changes in fish behavior, visible lesions, parasite load, and early signs of disease — without manual sampling that stresses the fish and exposes personnel. Early detection allows intervention before an outbreak escalates.

Highest ROI in sites with a history of health issues
02

AI-optimized automatic feeding

Feed is the largest operating cost in aquaculture. AI can detect in real time when fish are satiated — from their behavior and the amount of pellet reaching the bottom — and automatically adjust dosing. Less waste, better feed conversion, lower environmental impact.

Direct impact on the primary operating cost
03

Biomass estimation without sample fishing

Estimating the weight of biomass in a pen has historically required sample fishing — stressful for the fish and labor-intensive. Stereo-camera systems with AI can estimate biomass continuously and non-invasively with high accuracy. Better harvest planning, better management of the production cycle.

Impact on animal welfare and harvest planning

We don't sell AI,
we sell adoption.

We understand how your company works today and build the bridge so AI does the heavy lifting, giving your team back time for strategic tasks.

01
Discover
Week 1–2

We audit processes, interview teams and map the highest-impact opportunities. You leave with a prioritized roadmap.

02
Pilot
Week 3–6

We build the first agent or workflow in production. We measure ROI from day one. No PowerPoints, only results.

03
Adopt
Week 7–10

We train teams to own the technology. The agent becomes their tool, not ours.

04
Scale
Week 11+

We expand what works. New processes, new teams. AI stops being a project and becomes an operational advantage.

Aquaculture

We don't sell technology. We sell harvests that arrive complete.

We want to understand how your site operates today, what the main sources of mortality and loss are, and where information reaches decision-makers too late or incomplete.

AI in Aquaculture | Optimize Production and Fish Health — fuubo.ai