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This research presents experimental performance and artificial neural network modeling of a hybrid solar dryer for drying pineapples at Raimoung Community Enterprise, Loei province (17.48๐N, 101.72๐E), Thailand. Ten batches of the pineapples were used for drying experiments, 10.0 kg of the pineapples per batch. The parameters used in the artificial neural network model are solar radiation, air temperature, relative humidity and airflow rate. The numerical solution was programmed using C++ programming. The results showed that pineapple moisture contents calculated from the model corresponded with the experimental values, representing RMSE=0.4003 and R2=0.9918.
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