Optimization of conditions (pH and temperature) for Lemna gibba production using fuzzy model coupled with Mamdani’s method

A fuzzy-logic-based diagnosis system was developed to determine the effect of pH and temperature on duckweed Lemna gibba biomass production. The measured data of variables were implemented into the fuzzy inference system (FIS) with Mamdani’s method. A fuzzy rule-based model was shaped to define the essential quality parameters monitored as pH and temperature as inputs. The fuzzy modeled values of biomass gain were validated against the experimental values with a strong correlation (r2) of 0.98.