Particle Tracking
Visualizing Lice Movements in Coastal Waters
Our modelling framework integrates physical oceanography with biological response dynamics, allowing us to predict not only where lice may travel, but how environmental variability influences their survival, development, and spread. This provides a far more comprehensive understanding of lice pressure than static or historical data alone.
This allows fish farmers, researchers, and aquaculture decision-makers to:
- Anticipate lice pressure before it becomes a problem
- Understand connectivity and interaction between farming sites
- Identify high-risk exposure periods based on environmental conditions
- Optimize treatment timing and preventive strategies
- Reduce environmental impact while improving fish welfare
- Strengthen data-driven decision-making across operations
Our visualizations transform complex scientific modelling into clear, actionable insights. Instead of reacting to outbreaks after they occur, SimLice empowers operators to plan proactively — improving operational efficiency, sustainability outcomes, and long-term farm performance.
Explore the visualization to understand how SimLice transforms complex modelling into predictive insight, improved situational awareness, and more sustainable aquaculture decision-making.
