CASE STUDIES
Real-world case studies illustrating how our Digital Nutrition capabilities support clients across the aquaculture value chain.
Transforming short‑duration trial results into full‑cycle predictive insights by integrating nutritional modelling, production planning tools and high‑quality trial data to estimate additive performance over an entire production cycle.
Nutrient-based modelling
Demonstrating SPAROS’ ability to convert nutritional models and complex datasets into interactive, cloud‑based analytical tools for scenario exploration and data‑driven technical communication.
Web app implementation
Nutrient-based modelling
The OptiFeeSH solution supports fish producers by optimising feeding and production planning through advanced nutritional modelling, scenario exploration and operational data integration — ensuring that feeding strategies are aligned with biological potential and operational goals. The tool is developed and is offered together with aquaManager, and it demonstrates how SPAROS can integrate its nutritional modelling engines with different partners or bespoke digital solutions, through APIs, expanding the reach of modelling‑based decision support across the sector.
Nutrient-based modelling
Digital Integration services
On-demand access to SPAROS’ nutritional and data‑modelling expertise, turning complex aquaculture data into clear insights, stronger feeding strategies and more predictable production outcomes. Target clients include land‑based and RAS producers, salmon farmers across freshwater and seawater phases, aquafeed manufacturers and additive companies seeking deeper, science‑based insight from their operational data
Production data analysis
Nutrient-based modelling
Applying machine learning to explore whether production datasets contain meaningful predictive signal, identify key performance drivers, and clarify data limitations. This on‑demand service helps clients extract actionable insights from existing data, define data requirements for robust future models, and establish a clear, scalable pathway towards reliable predictive decision‑support as datasets mature.
Production data analysis
Machine Learning modelling
Demonstrating SPAROS’ ability to digitise and standardise the full workflow of nutrition and production trials, reducing manual effort, improving data consistency and traceability, and enabling efficient analysis across single and multi‑trial datasets.
Web app implementation
Digital Integration services
Showcasing SPAROS’ capability to create validated scientific models and transform these into accessible, cloud‑based digital tools. ficoEst model was developed by SPAROS and embedded into a public web app widely used by researchers, students and industry teams to estimate whole‑body composition complementing analytical methods.
Nutrient-based modelling
Web app implementation