The article examines and organizes scientific advancements in project management aimed at improving the efficiency of a crop farm, focusing on the practical aspects of intensifying its operations. After reviewing the research of both domestic and international scholars regarding the application of statistical methods for constructing dynamic models of enterprises using limited time series data, the study proposes the use of statistical dependence equations. A key strategy for enhancing the efficiency of enterprise activities is to minimize the total costs associated with crop production and services. The analysis reveals that labor costs in crop production and social contributions have the most significant impact on cost dynamics, while material costs contribute less to overall production expenses. It has been determined that the total expense for seeds, planting materials, and mineral fertilizers - which currently operate at an intensity of 82.45% - can be partially reduced through the adoption of precision farming technologies. Utilizing the dynamic model enabled forecasts indicating a potential reduction in material costs - from UAH 4266.9 thousand in 2023 to UAH 4000 thousand - leading to a total cost decrease of UAH 214.69 thousand. This reduction can be achieved by minimizing disincentive factors, particularly expenses related to fuel and lubricants (intensity of use at 96.06%) and electricity (intensity of use at 86.41%). The recommendation is to mitigate the impacts of material costs included in production expenses by 18.34%, while also lowering crop production labor costs and social contributions by 3.55%. This strategy aims to decrease the average level of total costs for crop production by 10%. Furthermore, it is suggested to advance to the next phase of the project by introducing modern precision farming technologies and employing energy-efficient equipment to boost labor productivity. This approach represents a primary avenue for cost reduction and is deemed a fundamental focus for the enterprise.