Neural network forecasting of terms of refrigerating storage of vegetative raw materials in modules with the modified atmosphere
Modified atmosphere compact modules have been considered as a refrigeration technology tool for phytogenic product storage in the domestic refrigerators. Experimental data on kinetics of deterioration for apples were used to correlate the shelf life and different technological factors via artificial neural networks.