Fish Farm Monitor

Satellite imagery with AI analytics detects water quality changes, algal blooms, and fish distribution to optimize feeding and support sustainable aquaculture.

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How does it work?

Traditional aquaculture monitoring relies on manual sampling and sparse sensors, causing delayed detection of environmental stressors and stock issues. This solution harnesses high-resolution satellite data and AI analytics to deliver real-time, site-wide insights for proactive management and risk reduction.

Real-time Water Quality: Combines spectral bands to estimate parameters like temperature and turbidity. This eliminates delays from manual sampling and identifies stress conditions promptly.
Algal Bloom Alerts: AI models analyze chlorophyll and surface reflectance to flag early-stage blooms. Alerts allow timely mitigation measures to prevent mass die-offs.
Stock Distribution: High-resolution imagery tracks fish shoal patterns through surface signatures. Operators can adjust feeding zones and stocking densities based on spatial distribution insights.
Feeding Optimization: Correlates biomass distribution with feed uptake models to fine-tune feeding schedules. This reduces feed waste by up to 20% and lowers operational costs.
Environmental Risk Detection: Monitors surrounding land use and runoff indicators to predict contamination risks. Early warnings help implement containment and water exchange protocols quickly.
Scalable Coverage: Processes satellite data across hundreds of ponds or cages simultaneously. This scalability supports small family-run operations and large commercial farms alike.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does satellite monitoring compare to in-situ sensors?: Satellite monitoring provides broader spatial coverage without installing expensive sensors, while in-situ sensors offer high-frequency local data. Combining both methods delivers comprehensive insights on water quality and fish behavior.
Why is satellite-based monitoring popular among aquaculture managers?: It reduces field labor and captures data across remote or inaccessible sites. The scalable, automated analysis helps managers make data-driven decisions without frequent manual sampling.
Can this monitoring detect harmful algal blooms early?: Yes, spectral analysis of chlorophyll and fluorescence signals enables early bloom detection. This proactive alerting can prevent fish mortality and reduce mitigation costs.
Are there limitations to using satellite imagery in cloudy regions?: Cloud cover can obscure optical sensors, limiting data availability in certain climates. Synthetic aperture radar or high revisit-rate satellites can help mitigate these gaps.
What alternatives exist to satellite-based aquaculture monitoring?: Alternatives include drone surveys and in-situ sensor networks for localized data collection. However, these methods often involve higher labor and may lack the broad coverage of satellites.
How often can satellite imagery be updated for aquaculture sites?: Update frequency depends on the chosen platform—some constellations offer daily revisits, while others range every 2–5 days. Users can schedule acquisitions to align with critical monitoring periods.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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