SCENARIO FORECASTING OF RICE PRODUCTION USING RESOURCE-SAVING TECHNOLOGIES

The article presents the results of scenario modeling for the author's cognitive map G of the complex system "Rice Production." A plan has been developed for a computational experiment on impulse modeling of scenarios in order to analyze the impact of changes in various conditions and the water management system in the Krasnodar Territory in relation to the cognitive model of the Rice Production system. Six scenarios have been developed for the cognitive map presented in the article: three scenarios showing systemic changes that occur when changes are made to one vertex, and three scenarios when changes are made to several vertices. In scenarios No. 1 - No. 3, a positive impulse is given to the cognitive model under study, which leads to an increasing nature of changes within the system, and as a result, food security is ensured, and risks in the system are reduced. The results of impulse modeling under scenarios No. 4 - No. 6 make it possible to assess the possible development of the situation when making changes to several peaks in conditions of the emergence of worse conditions and some counteraction to them. It was revealed that of all six scenarios, scenario No. 6 is the most optimistic and can be recommended as a basis for developing strategies for the development of the rice production system in the Krasnodar Territory. The authors believe that measures aimed at increasing rice yields should be comprehensive and systematic, which will take into account all possible changes arising in the complex Rice Production system.

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Publication Details

Journal
Moscow Economic Journal
Published
2025-09-16
DOI
https://doi.org/10.55186/2413046x_2025_10_9_214
Primary Topic
Cognitive Science and Mapping
Type
article
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article

SCENARIO FORECASTING OF RICE PRODUCTION USING RESOURCE-SAVING TECHNOLOGIES

Galina Gorelova, Sofiya Gubieva
Moscow Economic Journal
Cognitive Science and Mapping
article

SCENARIO FORECASTING OF RICE PRODUCTION USING RESOURCE-SAVING TECHNOLOGIES

Galina Gorelova, Sofiya Gubieva
article en

Abstract

The article presents the results of scenario modeling for the author's cognitive map G of the complex system "Rice Production." A plan has been developed for a computational experiment on impulse modeling of scenarios in order to analyze the impact of changes in various conditions and the water management system in the Krasnodar Territory in relation to the cognitive model of the Rice Production system. Six scenarios have been developed for the cognitive map presented in the article: three scenarios showing systemic changes that occur when changes are made to one vertex, and three scenarios when changes are made to several vertices. In scenarios No. 1 - No. 3, a positive impulse is given to the cognitive model under study, which leads to an increasing nature of changes within the system, and as a result, food security is ensured, and risks in the system are reduced. The results of impulse modeling under scenarios No. 4 - No. 6 make it possible to assess the possible development of the situation when making changes to several peaks in conditions of the emergence of worse conditions and some counteraction to them. It was revealed that of all six scenarios, scenario No. 6 is the most optimistic and can be recommended as a basis for developing strategies for the development of the rice production system in the Krasnodar Territory. The authors believe that measures aimed at increasing rice yields should be comprehensive and systematic, which will take into account all possible changes arising in the complex Rice Production system.

Moscow Economic JournalVol. 10(9)
Southern Federal University (RU), Kuban State Agrarian University (RU)
Openalex Percentile: Top 87%
Cognitive Science and Mapping
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