DEVELOPMENT OF MODELS OF PLANNING FOOD PRODUCTION
Margarita N. Barsukova (firstname.lastname@example.org), Anna Yu. Belyakova (email@example.com), Nadezhda V. Bendik (firstname.lastname@example.org), Tatiana S. Buzina (email@example.com), Elena V. Vashukevich (firstname.lastname@example.org), Yaroslav M. Ivan’o (email@example.com)
Irkutsk State Agrarian University named after A.A. Ezhevsky
In the work, models with different characteristics, developed and implemented by the team of the authors of the chair of informatics and mathematical modeling of the Irkutsk State Agrarian University for many years, were considered in order to plan the receipt of food products in areas with developed agriculture and rich food forest resources. Three groups of models are distinguished. The first of them allow optimizing the production of agricultural products. This includes the tasks of obtaining optimal plans for sowing, the production of crop, livestock products and their combination, multi-stage tasks for locating crops, models for optimizing the receipt of agricultural products under risk conditions, and ecological and mathematical models. The second group of models allows optimizing the harvesting of food wild-growing products, commercial wild game meat and their combination. The third group of models is a synthesis of the first two models. It describes the production of agricultural products in conjunction with the procurement of food forest resources and commercial wild game meat. The article describes the directions of improvement of the described models: detailed production processes in the form of additional restrictions, risk taking into account the natural, climatic, and economic features of the territory. Based on models for optimizing the harvesting of food-borne wild products and commercial wild game meat, it is proposed to build and implement models of mathematical programming for the preparation of a combination of these two types of resources.
agricultural products, optimization model, planning, food forest resources, classification