TECHNOLOGICAL ASPECTS OF THE SOWING AREAS STRUCTURE OPTIMIZATION OF AN AGRICULTURAL ENTERPRISE

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This work aims to present the results of the development and testing of a model for optimizing the structure of sown areas based on the criterion of maximizing the total gross profit from the production and sale of commodity crop products. The model allows us to consider changes in market, technological, and other production factors through various technological maps for growing different crops, as well as recalculate planned costs, taking into account the costs incurred for work in progress. This allows you to consider the rapid changes in the external and internal environment that agricultural enterprises in Ukraine face today. The work describes the objective function, defines the limitations, and calculates the planned gross profit for the existing structure of sown areas in 2023. It searches for the optimal solution for the structure of sown areas for the Bila Tserkva Research and Breeding Station, investigates the prospects and possibilities of considering technological changes in plant production when using the optimization model, and complies with resource use standards. Each cropʼs production and sale costs are calculated for a separate cost item. Other restrictions, such as crop rotation, impact on soil condition and quality, availability of equipment, and timing of technological operations related to technological factors of production, were taken into account when forming restrictions on the maximum or minimum share of a separate crop or group of crops in the total sown area of the Bila Tserkva Research and Breeding Station. The implementation of the optimal solution regarding the structure of sown areas will allow an increase in the gross profit of the Bila Tserkva Research and Breeding Station from the sale of commercial crops included in the optimization model by UAH 15.47 million in 2024 (or by 79 %). At the same time, the profitability of production will increase from 28.8 % to 36.6 %. This indicates the ability of agricultural enterprises to increase their profitability and financial stability in wartime conditions. The proposed model was developed for the enterprise under study, but after adaptation, it can be used by other agricultural enterprises to evaluate similar solutions.