Resumen
The specific application of this work involves the development of an intelligent system for diagnosing and treating fish diseases in Greek fish farming. The project aims to enhance the competitiveness of Greek fish farming by addressing the increasing mortality rates attributed to unsustainable farming methods and environmental factors. The application of data mining classifiers, particularly decision trees (DTs), in predicting and categorizing fish mortality instances contributes to the development of an intelligent system for disease diagnosis and treatment. The proactive approach, supported by rigorous evaluation processes and a feature importance analysis, holds implications for sustainable aquaculture management and aligns with global sustainability initiatives.