Outdated technologies, lack of resources and/or their irrational use along with the growing shortage of fresh water and reduction of agricultural land areas lead to destabilization of food security in Russia. To ensure food security in Russia, it is necessary to develop a business model based on a scientifically sound resource-saving methodology for making timely management decisions for workers in the agro-industrial complex. Research objective – development of a scientifically sound management system for a rice irrigation system. Research object – agricultural melioration complex, including protection of agro-landscapes from anthropogenic load by managing resources using mathematical models. Research subject – patterns of influence of resource-saving model in production activity on productivity and agro-resource potential of soils of melioration system, algorithm of designing landscape-melioration systems of new generation for cost assessment of negative consequences, risks and damages, probabilistic model of process of reduction of cost of the planned event with continuous and step change of cost of events, model of economic activity on rice irrigation systems under conditions of uncertainty. To select effective nature-like technologies under conditions of increasing deficit of water resources, man-made threats and climatic anomalies in the South of Russia it is proposed to use mathematical model of functioning of rice irrigation system, based on method of cognitive modeling, including main factors of management and support of decision-making on management of the existing rice irrigation system. Use of the model will allow not only to reduce time of adoption of management, but also to reduce cost, labor intensity and resource intensity of rice production, which will undoubtedly lead to strengthening of rice-growing industry on the market of Russia and will increase its food security.
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I. A Prikhodko
Galina Molchanova
Roman Ogadzhanyan
Mezhdunarodnyi sel skokhozyaistvennyi zhurnal
Kuban State Agrarian University
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Prikhodko et al. (Mon,) studied this question.
www.synapsesocial.com/papers/696c776ceb60fb80d1395be2 — DOI: https://doi.org/10.55186/25876740_2025_68_2_186