Comprehensive assessment of the development potential of plant production in the municipal district

Keywords: comprehensive assessment, meteorological factors, crop production, trend, yield, probability, optimization, municipal district

Abstract

The work examines a comprehensive assessment of the variability of natural-climatic and production-economic characteristics to determine the potential for the development of crop production in a municipal district. This approach allows optimizing the resources of agricultural producers, improving forecasts, plans and increasing labor productivity. The goal of the work is to analyze the variability of climatic factors and production-economic characteristics to assess the potential for agricultural development in the municipal district. The scientific novelty of the study is associated with a comprehensive assessment of climatic and production-economic characteristics using mathematical modeling for forecasting and planning production for a long-term perspective, taking into account various conditions of the agricultural producer's activities. To achieve this goal, long-term changes in precipitation and temperatures for each month of the growing season were analyzed. The influence of these factors on crop yields was determined and the most significant of them were identified. Multi-level trends were highlighted in the series of bioproductivity of grain crops, vegetables and potatoes. Crop yield losses were determined. Based on a parametric programming problem with probabilistic characteristics, plans for obtaining volumes of the main types of agricultural products until 2026 were built. At the same time, predictive and stochastic values of crop yields were previously determined. Solutions to the extreme problem were obtained for average, favorable and unfavorable conditions of activity of agricultural producers. The methodology for a comprehensive assessment of the potential for agricultural development is applicable to enterprises, municipal and agricultural landscape areas. In the article, the methodology was tested for the Irkutsk district.

Sponsorship information. This work was supported by the Russian Science Foundation grant No. 24-21-00502.

EDN: DYMPRI

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Author Biographies

Yaroslav M. Ivanyo, Irkutsk State Agricultural University named after A.A. Ezhevsky

Dr. of Eng. Sc., Prof., Vice-Rector for Digital Transformation, Professor Department of Computer Science and Mathematical Modeling

Sofya A. Petrova, Irkutsk State Agricultural University named after A.A. Ezhevsky

Cand. of Eng. Sc., Asc. Prof., Associate Professor Department of Computer Science and Mathematical Modeling

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Ivanyo, Ya. M., Asalkhanov, P. G., & Bendik, N. V. (2019). Management of the agro-industrial enterprise: optimization uncertainty expert assessments. International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2019. P. 8934788.

Ivanyo, Ya. M., & Petrova, S. A. (2019). Optimization models of food processing wild-growing products with expert assessments. Critical infrastructures: contingency management, intelligent, agent-based, cloud computing and cyber security (IWCI 2019). Proceedings of the VIth International Workshop, pp. 108-113.

Ivanyo, Ya. M., Petrova, S. A., & Kovaleva, E. A. (2022). Ecological-Mathematical Modeling in Planning Production of Agricultural Products in Conditions of Risks. IOP Conference Series: Earth and Environmental Science, 022083. https://doi.org/10.1088/1755-1315/988/2/022083 EDN: https://elibrary.ru/guydcd

Kotliarov, I. D. (2022). Heterogeneity of stakeholders as an obstacle to the development of agricultural cooperatives in Russia. Russian Peasant Studies, 7(4), 20-32. https://doi.org/10.22394/2500-1809-2022-7-4-20-32 EDN: https://elibrary.ru/ljkeen

Ivanyo, Ya. M., Petrova, S. A., Polkovskaya, M. N., & Fedurina, N. I. (2018). Modeling of the production of agrarian products under the conditions of influence of droughts, rainfall and their combinations. Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security. Proceedings of the Vth International workshop, pp. 78-84. https://doi.org/10.2991/iwci-18.2018.14 EDN: https://elibrary.ru/idrnl

Plotnikov, V., Nikitin, Y., Maramygin, M., & Ilyasov, R. (2021). National food security under institutional challenges (Russian experience). International Journal of Sociology and Social Policy, 41(1-2), 139-153. https://doi.org/10.1108/IJSSP-03-2020-0074 EDN: https://elibrary.ru/ffrhyz

Bakharev, V. V., Mityashin, G. Yu., Stelmashonok, E. V. et al. (2023). Trends of evolution of food security: digital transformation, social entrepreneurship and human dignity. Siberian Journal of Life Sciences and Agriculture, 15(2), 363-391. https://doi.org/10.12731/2658-6649-2023-15-2-363-391 EDN: https://elibrary.ru/kbwsda


Published
2025-04-30
How to Cite
Ivanyo, Y., & Petrova, S. (2025). Comprehensive assessment of the development potential of plant production in the municipal district. Siberian Journal of Life Sciences and Agriculture, 17(2), 535-552. https://doi.org/10.12731/2658-6649-2025-17-2-1119
Section
Interdisciplinary Research