Back to articles of current journal
| PDF: |  |
Author(s): | Karpovich R. V., |
| Number of journal: | 3(72) | Date: | September 2025 |
| Annotation: | The agricultural sector is crucial for food secu- rity, economic stability, and sustainable development. Modern agriculture faces challenges from rising food demand, climate change, limited resources, and market volatility. This article reviews the use of mathematical modeling in analyzing produc- tion and economic processes in agriculture. It highlights the advantages of shifting from traditional methods to modern mod- els that allow accurate yield forecasting, resource optimization, risk assessment, and informed planning. The review covers four model groups—optimization, simulation, statistical, and econo- metric—which offer diverse approaches to current challenges. Special attention is paid to the practical application of these methods in the Russian Federation, where the integration of di gital technologies such as GIS, remote sensing, machine learn- ing and big data analysis significantly improves the efficiency and accuracy of analysis. An analysis of the literature reveals the theoretical validity and practical applicability of the devel- oped methods, as well as points to problems with the quality of the source data and the need to adapt models to regional pecu- liarities. The development of mathematical models contributes to improving the quality of management decisions and creating adaptive strategies for sustainable development, which is an important area for further research and practical application in the agricultural sector.The presented review demonstrates the importance of integrating mathematical modeling into mo dern agricultural strategies and highlights the relevance of further research in this area. | ||
| Keywords: | mathematical modeling, agriculture, optimiza- tion models, simulation models, statistical models, econometric models, sustainable development, digital technologies |
||
| For citation: | Karpovich R. V. Review of mathematical models of production and economic processes in agriculture. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2025;3(72):208—214. DOI: 10.25683/VOLBI.2025.72.1339. |
||