This paper addresses the challenge of multisensor data integration and intelligent forecasting for water resources management in regions experiencing critical water scarcity, exemplified by the Aydarkul Lake system in Uzbekistan which decreased from 44 to 10 billion m³ (2000-2015), resulting in $115 million USD economic losses. We propose an intelligent multisensor measuring system based on hybrid machine learning models (Random Forest, Gradient Boosting, LSTM) integrating real-time data from TDS, pH, ultrasonic level, flow, and pressure sensors. The framework achieves 95% accuracy for short-term (1-7 days) and 85% for long-term (1 year) forecasts, reducing water losses by 23% and improving irrigation reliability by 18% compared to conventional approaches.
| Mualliflar | Ozodov, Ezozbek |
|---|---|
| Jurnal | O’zbekiston qishloq va suv xo’jaligi |
| Nashr sanasi | 2026-05-04 |
| Jild | 2026 |
| Son | 5 |
| Betlar | 46-48 |
| Til | O‘zbek |
Multisensor system, intelligent forecasting, machine learning, water resources, Aydarkul Lake, real-time monitoring, LSTM, Мультисенсорная система, интеллектуальное прогнозирование, машинное обуче- ние, водные ресурсы, озеро Айдаркуль, мониторинг в реальном времени, LSTM, Multisensor tizim, intellektual bashoratlash, mashinaviy o’qitish, suv resurslari, Aydarko’l, real vaqt monitoringi, LSTM
This scientific article examines the role of digital financing instruments in the development of renewable energy sources, as well as their underlying economic and technological mechanisms. In the context of growing…
The article scientifically and experimentally substantiates a method for disinfecting beehives using environmentally friendly electrotechnologies, particularly ultraviolet (UV-C) radiation with a wavelength of 253.7 nm…
The objective of this work is to theoretically calculate the design of energy-efficient pumps that minimize losses and effectively clean the flow. Modern methods for achieving such goals are not used in the design and…
In this article are presented the results of experiments carried out to determine the drying period of large-calibrated local cocoons on shadow cocoon dryers under natural conditions which pupae had been killed with hot…
The article presents the results of research on the influence of winter wheat straw mulching and irrigation water mineralization on the microbiological activity and gas regime of saline soils under cotton cultivation…
The article presents a comparative evaluation of reproductive characteristics of silkworm (Bombyx mori L.) breeds AG, Ipakchi-2 and S-10. The research was conducted during 2023–2025 using Ipakchi-1 as a control breed…
This article examines the potential for producing high volumes of green forage using advanced agricultural technologies and practical skills in the combined planting of forage crops. The results obtained contribute to…
The article analyzes the development, spread, damage, resistance to pesticides, determination of the extent of damage and control measures for aphids and other pests of tomatoes, and also presents the results of a study…
This article presents an analysis of the germination rates of winter wheat varieties under the conditions of light sierozem soils in the Kashkadarya region. According to the research results, the germination of winter…
Based on a literature review, this article provides information on the distribution and severity of fire blight, which causes significant damage to orchards worldwide. Agronomic, biological, and chemical measures for…