HIGHLIGHTS
SUMMARY
Nowadays, the technical and technological development in water quality monitoring and control is mostly based on using complex network systems technologies that support the communication requirements necessary for control and automation between the complex hardware devices which are less efficient in terms of operational costs equipment and systems itself. Prediction models based on ML, using ANN and ANFIS techniques, have been extended to target fish and plants biomass as dependent variables, simplifying, therefore, the operational management within aquaponics systems. Prediction models for biomass growth in aquaponics systems can simplify the operational management but, to . . .
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