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The article is devoted to the results of modeling the combination of agricultural production and harvesting of wild food resources. Agricultural enterprise models that are able to expand food production activities through the use of wild plants are proposed. A prerequisite for the application of the developed linear programming models with uncertain parameters is the availability of sufficient reserves of wild food resources located at relatively small distances from the farm. This condition is acceptable for many farms in the Irkutsk region. As optimization problems, linear parametric problems with interval and random estimates are used. With sustainable agriculture, the uncertain values are yield, labor costs and prices for harvesting and selling wild plants. The models used to manage the activities of agricultural producers of the Irkutsk region showed additional opportunities for the development of the regional agro-industrial complex.

The paper proposes models for maximizing cluster incomes for the harvesting of wild-growing products, taking into account the areas and possible fishing volumes, yields of taiga resources, labor costs and production costs. A multi-criteria linear programming problem and problems with interval and random parameters are considered. The analysis of the initial data used to model cluster activity is given. The labor costs for obtaining forest products, the yield of wildgrowing plants and the cost of production are proposed to determine by expert means in the form of average and interval estimates. The results of optimization of the procurement of food wild-growing products for potential clusters of the Irkutsk region were obtained.