Author(s): Claudio Correa; Mustafa Shubari; Miguel Leopoldo; Diogo Almeida; Ashraf M.A.; Cristina Rocha; Pedro Furtado; Rita F. Carvalho

Linked Author(s): Maria Rita L. M. F. Carvalho

Keywords: Aquaculture; CFD; Data-driven models; Fish health; SISdATA

Abstract: Aquaculture management requires the integration of environmental monitoring, biological processes, and operational decision-making to ensure sustainability and productivity. Numerical models provide predictive capabilities to simulate hydrodynamic behaviour, oxygen dynamics, nutrient transport, and fish growth, complementing real-time data. This work presents the SISdATA platform, an integrated decision-support system combining observational data, computational fluid dynamics (CFD), bioenergetic modelling, and data-driven approaches for traditional aquaculture systems. The methodology is based on a modular architecture integrating data ingestion, model execution, and user interaction. Heterogeneous data sources, including sensor measurements and numerical simulations, are normalised and stored in a unified database. Models for water renewal, aeration, and fish growth are implemented as interoperable modules, enabling scenario-based simulations. Results demonstrate the platform’s capability to represent hydrodynamic and biological processes. CFD simulations show that controlled water renewal removes approximately 82% of ammonia within 73 minutes. The fish growth model produces consistent responses under varying environmental conditions, supporting growth and oxygen constraint analysis. The SISdATA platform provides an extensible framework for integrating numerical models into decision-support systems, enabling improved management and sustainability in aquaculture.

DOI:

Year: 2026