The problem of estimation of transport parameters in food processing models is examined. A procedure is presented which consists of controlled experiments, application of theory to model the process and estimation of parameters by comparing the experimental and predicted data by the use of nonlinear optimization technique. The optimization program estimates a set of parameters in a food processing model which gives a minimum value of the sum of squares of the deviation between the observed and estimated values. The processes considered are drying, soaking and parboiiing of rice and peanut drying. Depending on the complexity of the process, the solution of the mathematical model is given in the form of analytical, finite difference or finite element approximations. The precision of transport parameters determination is also discussed.
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Bakshi et al. (1984) studied this question.