Moving from Reactive to Predictive Management
Aquaculture has traditionally relied on monitoring lice levels and responding once thresholds are exceeded. While this approach has been necessary, it often results in reactive treatments that could potentially be optimized with better foresight.
Simulation offers an opportunity to shift from reactive management to predictive planning. By modelling environmental conditions, biological behaviour, and farm interactions, farmers can anticipate risks before they develop into operational challenges.
Understanding Dispersal and Population Dynamics
SimLice combines particle tracking technology with biological population modelling to provide a comprehensive view of lice dynamics. Particle tracking helps visualize how lice disperse between farm sites under varying oceanographic conditions, while population modelling supports understanding of growth patterns within individual sites.
Together, these tools allow farmers to evaluate treatment timing, assess potential cross-site impacts, and optimize management strategies in a controlled virtual environment before implementing them in practice.
Supporting Sustainability and Fish Welfare
Better prediction leads to better decision-making. By improving treatment timing, reducing unnecessary interventions, and enhancing coordination between sites, simulation-based management contributes to both economic efficiency and environmental responsibility.
As sustainability becomes an increasingly central priority in aquaculture, predictive modelling will play a key role in balancing production needs with environmental stewardship. SimLice aims to support this transition by providing clear, practical, and scientifically grounded decision-support tools.
