Modeling the Process of Crop Yield Management in Hydroagro-Landscape Saline Soils

Serikbay Umirzakov, Zhumakhan Mustafayev (), Laura Tokhetova, Zhanuzak Baimanov, Kairat Akylbayev and Lazzat Koldasova
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Serikbay Umirzakov: Institute of Engineering and Technology, Korkyt-Ata Kyzylorda University, Kyzylorda 120000, Kazakhstan
Zhumakhan Mustafayev: Institute of Geography and Water Security Science Committee, Almaty 050000, Kazakhstan
Laura Tokhetova: Institute of Engineering and Technology, Korkyt-Ata Kyzylorda University, Kyzylorda 120000, Kazakhstan
Zhanuzak Baimanov: LLP “Kazakh Scientific Research Institute of Rice Cultivation Named After I. Zhakhaev”, Kyzylorda 120000, Kazakhstan
Kairat Akylbayev: Institute of Engineering and Technology, Korkyt-Ata Kyzylorda University, Kyzylorda 120000, Kazakhstan
Lazzat Koldasova: Department of Water Resources, M. Auezov South Kazakhstan University, Shymkent 160000, Kazakhstan

Sustainability, 2025, vol. 17, issue 9, 1-17

Abstract: To study the impact of soil salinity type and degree in irrigated lands on the process of crop yield formation, multiparametric and single-parameter mathematical models were used. The methodological basis of the study was the materialist theory of scientific knowledge (analysis and synthesis) and the laws of ecology, using graph-analytical methods based on artificial intelligence and the applied software product Microsoft Office. To create the database, an empirical method of generalizing research results was used to study the effect of soil salinity type and degree in irrigated lands on the yield of agricultural crops in various natural and climatic zones of Central Asia for the period from 1932 to 2020. Based on plotting graphs of the dependence of the relative yield of agricultural crops on the dimensionless (relative) value of soil salinity type and degree, based on research data, the following results were obtained: first, differential equations describing the studied process were derived; second, within the framework of a very high determination index confirming a strong correlation between the function arguments and yield, a system of exponential, logarithmic, and polynomial equations was obtained using the applied software product Microsoft Office, which enables the management of agricultural crop yields on saline soils; and third, it creates prerequisites for the design of ecologically sustainable agro-landscapes.

Keywords: crop yield; salinity; modeling; ecological law; information resources; trend; trajectory of change (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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