This project aims to study the factors causing moisture migration and moisture loss of grain in storage grain that subsequently affect production costs by compensating lost weight due to its moisture. From reviewing a related mathematical model, it is found that physical changes of grain in silo, both the temperature and moisture, are caused by its oxidation during storage and aeration. Therefore, suitable grain storage can reduce its weight loss. To control storing process, the numerical solution of the model, a system of partial differential equations, is obtained by finite difference method. Moreover, a Java program has developed based on overall processes of the model as an information for decision making in grain production and storage.
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