| Resumen |
White fish (Chirostoma Estor) is an endangered species that grows in the Pátzcuaro Lake, located in Michoacán, México. It represents one of the most important economic effect in the gastronomy of this highly touristic zone. Actually, efforts for conserving this specie has focused on culturing it in intensive cultured systems that can be built by particular producers in order to avoid over-exploitation. In this work, an artificial intelligence based model has been developed in order to interpret environmental conditions that affect water quality of production systems. Environmental parametres are classified by their negative ecological impact in the habitat, based on concentrations of measured pollutants and the combinations that can be harmful for the organism. A fuzzy inference system processes the different water conditions using a set of rules that determine a situation that is expressed as a Water Quality Index: excellent, good, regular and poor. Comparison with similar models used in literature shows a good performance of the proposed index with accurate assessments in real environments. This computational system emerges as a suitable and alternative tool to be used in the water management in white fish aquaculture, where unfavorable situations will be reduced, generating a better final product |
