Application of ANN and prediction of drying behavior of mushroom drying in side hybrid greenhouse solar dryer: An experimental validation

The newly developed Heat Exchanger Evacuated Tube Assisted Drying System (HE-ETADS) is fabricated in roof of campus MITS, Gwalior, India. transfer analysis drying system carried out by mushroom inside it. heat coefficient plays a significant role method. study emphasizes on determining the convective as well evaporative coefficients (CHTC & EHTC) and determination best rate model fit for novel system. artificial neural network predicting CHTC EHTC. Value EHTC varies from 2.10 to 3.43 25.68 49.85 W/m2°C respectively. ANN helps once trained using input factors like solar radiation, relative humidity, environmental temperature time. value R2 0.99, which shows that predicts very close calculated coefficients. kinetics tried nine models. Midili-Kucuk better among other