Aquaculture with AI Image Recognition

For Oceanbites, we developed an AI-driven image recognition system to automatically monitor seaweed growth.
This platform made it possible to analyze visual data on a large scale without manual intervention.
Where manual inspections and rough estimates were previously the norm, Oceanbites today uses accurate, real-time insights into growth patterns.

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

The challenge

Manual monitoring of seaweed growth was time-consuming and inaccurate
No scalable method to analyze visual data
Difficult to reliably predict growth patterns and returns
Reliance on experienced experts for visual assessment
High operational workload when expanding production

The solution

Development of a custom AI-driven image recognition system
Automatic analysis of seaweed growth via camera images
Real-time monitoring and detection of deviations in growth patterns
User-friendly platform with visual dashboards and reporting
Flexible deployment for various cultivation locations and scales

Added value for the customer

90% fewer manual inspections on site
Analysis of 1,000+ images per day without additional staff
Up to 3x faster detection of growth abnormalities
Better harvest prediction with 93% accuracy
50% less time lost in reporting and decision-making
Ready to scale to 10+ installations without additional overhead