ANFIS Prediction Model of a Modified Greenhouse Dryer under Active Mode in No-Load conditions in Winter Season

n this study, an attempt is made to a make softcomputing prediction model for modifiedgreenhouse dryer under active mode in no-loadconditions. Adaptive Neuro Fuzzy Inference system(ANFIS) is use to predict the behaviour of thesystem. In this prediction model, weather conditionsare taken as input parameters such as ambienttemperature, ambient relative humidity, globalradiation and time of experimentation and theoutput parametersare greenhouse air temperatureand relative humiditywhich are important factor fordrying. ANFIS shows excellent predictionability forthe greenhouse dryer