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Aquaculture with AI Image Recognition

For Oceanbites, we developed an AI-driven image recognition system to automatically monitor seaweed growth.
Thanks to this platform, visual data can be analyzed at scale without manual intervention.
Where manual inspections and rough estimates used to be the standard, Oceanbites now leverages accurate, real-time insights into growth patterns.

This results in scalable aquaculture, better yield forecasts, and a significant reduction in operational workload.
An innovative example of how technology contributes to sustainable food production from the sea.

The challenge

  • Manual tracking of seaweed growth was time-consuming and inaccurate

  • No scalable method to analyze visual data

  • Difficult to reliably predict growth patterns and yields

  • Dependence on experienced specialists for visual assessment

  • High operational workload when expanding production

The solution

  • Development of a tailored AI-driven image recognition system

  • Automated seaweed growth analysis via camera footage

  • Real-time monitoring and detection of anomalies in growth patterns

  • User-friendly platform with visual dashboards and reporting

  • Flexibly deployable across different cultivation sites and scales

Added value for the client

  • 90% fewer on-site manual inspections

  • Analysis of 1,000+ images per day without additional staff

  • Up to 3× faster detection of growth anomalies

  • Improved harvest forecasting with 93% accuracy

  • 50% less time lost on reporting and decision-making

  • Ready to scale to 10+ facilities without extra overhead