Modeling of tomato drying using artificial neural network

This study involves experimental works on drying of tomatoes in a tray dryer covering different variables like power of heater and air flow velocity. The data are modeled using artificial neural network and empirical mathematical equations. The results were compared with experimental data and it was found that the predictions of the artificial neural network model fit the experimental data more accurately in comparison to the various mathematical equations.