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

in this study, an attempt is made to a make soft computing prediction model for modified greenhouse dryer under active mode in no - load conditions. Adaptive Neuro Fuzzy Inference system (ANFIS) is use to predict the behaviour of the system. In this prediction model, weather conditions are taken as input parameters such as ambient temperature, ambient relative humidity, global radiation and time of experimentation and the output parameters are greenhouse air temperature and relative humidity which are important factor for drying . ANFIS shows excellent prediction ability for the greenhouse dryer.