Mathematical simulation model to predict storage time of grain

Abstract

In this study, a mathematical simulation model for grain storage was developed. The model predicts the average temperature and changes in the moisture content inside the grain storage bin during the natural aeration. The model also predicts the allowable storage time for the different type of corn hybrids (resistant and susceptible). The model can predict the previous variables for any storage year after introducing its weather data. The model is valid for just corn. It can be used for other grain types after obtaining their experimental equations of physical properties. Storage time at different conditions was estimated after calculating many multipliers such as temperature multiplier, moisture multiplier, damage multiplier, harvest multiplier, and hybrid multiplier. The program has been validated and calibrated by comparing the simulated results with the experimental field results.