There is an acute problem of providing the population with food products that would not only fully satisfy the energy needs of the human body, but also provide the physiological needs of the human body in vitamins, minerals and other biologically active substances. An important role in providing the population with micronutrients can be played by berries, which are a natural concentrate of biologically active substances. Lowtemperature technologies for preserving berries can significantly increase the production of this high-value raw material, due to which it is possible to significantly improve the nutrition structure, thereby improving the quality of life of the population. This explains the rapid growth in the last decade of the production of frozen fruits and berries and, as a result, the intensive development of food low-temperature technologies. The experimental data during the studies were obtained. The temperature regimes for storing berries with the preservation of quality indicators are given. Low-temperature processing is sometimes the only feasible method of practically year-round storage and transportation for unlimited distances, so freezing in growing areas is a promising method to solve the problem of delivering berries at any distance, to eliminate the seasonality of its consumption, which ensures the stability of nutritional value. Fluidization freezing, similar to drying in the suspended state, is characterized by very intense heat exchange. Freezing berries is a special method of preserving them retaining the nutritional value and taste of the product. The high speed of the process and the formation of the smallest ice crystals prevent the loss of moisture in berries.
When constructing regression models describing the storage processes of agricultural products, researchers often ignore the effect of multicollinearity factors (the multicollinearity factor effect). In this case, the interpretations of the estimates of the regression model parameters are not adequate. It is suggested to perform multicollinearity diagnostics as one of the steps of the regression analysis. In the case of correlation of factors, it is proposed to construct a regression model by regularizing the LASSO parameters. In this paper a regression model is built, that describes the effect on the quality indicators of wheat grain (gluten) of storage parameters in the granary during cooling ("Average grain temperature in the granary, ºC", "Humidity of the grain, %", "Air temperature in the granary, ºC", "Refrigerant temperature, ºC" and "Volume air flow, m 3 •h -1 "). The parameters of the constructed model are analyzed. The conditions for the long-term storage of cereals are the synthesis of active ventilation by the convective stream of the coolant, turning of loose mass. The developed diagrams of granaries give an opportunity to realize the complex technological processing of products at the expense of efficient distribution of the cooled air flow passing through the raw materials, regulating its gas composition in intergranular spaces, humidity, temperature and intensity of physiological and microbiological processes in these layers.
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