INTELLIGENT CONTROL OF IRRIGATION SYSTEMS UNDER WATER SCARCITY: CASE STUDY OF KASHKADARYA REGION AND IMPACT OF QOSH-TEPA CANAL

Abstract

This article focuses on developing an intelligent system for the safe utilization of Collector-Drainage Water (CDW) to mitigate the negative impact of the Qosh-Tepa canal construction on the water supply of the Kashkadarya region. Considering that 73% of the region's irrigation water is pumped from the Amu Darya, mixing mineralized drainage effluents with fresh water is proposed as an alternative solution. A hybrid control model based on Physics-Informed Neural Networks (PINN) and Internet of Things (IoT) technologies has been developed. The results demonstrate that pulse irrigation regimes and real-time monitoring of salt transport can reduce water deficit by 20-25% and prevent secondary soil salinization.

Keywords

References

1. Ilkhamov, A. Implications for Uzbekistan's Water Supply of Qosh Tepa Canal Construction in Afghanistan. 2023.
2. Edlinger, J.; Conrad, C.; Lamers, J.P.A.; Khasankhanova, G.; Koellner, T. Reconstructing the Spatio - Temporal Development of Irrigation Systems in Uzbekistan Using Landsat Time Series. Remote Sens. 2012. Vol. 4.
3. O‘zbekiston Respublikasi Suv xo‘jaligi vazirligi. Qashqadaryo viloyati irrigatsiya tizimlarini rivojlantirish konsepsiyasi. Toshkent, 2023.
4. Kuliev T., et al. Utilization of collector - drainage waters for irrigation in arid zones of Uzbekistan // E3S Web of Conferences. 2023.
5. Mirzaqobulov, J.; Mehta, K.; Ilyas, S.; Salokhiddinov, A. The Role of Collector - Drainage Water in Sustainable Irrigation for Agriculture in the Developing World: An Experimental Study. World. 2025. Vol. 6, No. 1.
6. Ross, E.; Sticklor, R. How a simple tool is reducing conflict and preserving water in Uzbekistan. IWMI Success Stories. 2020.
7. Sayed, A. et al. A Smart Irrigation System Using the IoT and Advanced Machine Learning Model. 2024.
8. Okello, J. et al. Smart Irrigation Technologies and Prospects for Enhancing Water Use Efficiency for Sustainable Agriculture. 2025.
9. Simunek J., van Genuchten M. Th., Sejna M. Modeling the Soil – Plant – Atmosphere Continuum // Water. 2016. Vol. 8.
10. Bandai T., Ghezzehei T.A. Physics - Informed Neural Networks with Monotonicity Constraints for Richardson - Richards Equation // Hydrology and Earth System Sciences. 2022. Vol. 26.
11. Zhu Z., Rasheed M.W. Intermittent Drip Irrigation Soil Wet Front Prediction Model and Effective Water Storage Analysis // Sustainability. 2024. Vol. 16, No. 21.
12. Turgunov A.M. Математический модель и алгоритм искусственного интеллекта в капельном орошении. //Инновационные технологии. Научный журнал. 2024 1/53. ISBN 2181 - 4732.