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September 10, 2025Scientific HorizonsOpen Access

Automation and intelligent water distribution control systems for optimising water use in agricultural irrigation systems

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Authors

ABAinura BаtykovaLudovika University of Public ServiceVSVictoria SultanbaevaKyrgyz National Agrarian University named after K.I. SkryabinGSGulmira ShabikovaKyrgyz-Russian Slavic University named after B.N. Yeltsin

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Implication

Observational analysis shows improved water distribution in Kyrgyzstan's agriculture using drones and sensor networks, implying better conservation strategies.

Key Points

  • Improved water distribution efficiency of 90% was achieved using drones for irrigation.
  • Sensor networks showed an 85% level of water use efficiency with minimal losses during irrigation.
  • The application of the Demand Driven Distribution system led to a 25% reduction in pump energy consumption.
  • Artificial intelligence algorithms accurately detected water leaks as low as 0.2 liters per second, reducing losses by 50%.

Cite This Study

Bаtykova et al. (2025) studied this question.

synapsesocial.com/papers/68c1afc654b1d3bfb60e79b7https://doi.org/10.48077/scihor3.2025.104
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1DIGITAL WATER DISTRIBUTION TRANSFORMATION IN INTERFARM IRRIGATION SYSTEMS: METHODOLOGY, IMPLEMENTATION, RESULTS2025
  2. 2Improving the efficiency of water use management of irrigation systems: methodology and technology2025
  3. 3IoT-Based Precision Irrigation System Featuring Multi-Sensor Monitoring and Scheduled Automated Water-Control Gates for Rice Production2026 · 3 citations
  4. 4AI-Powered Smart Irrigation: A Case Study on Applying Genetic Algorithms and Particle Swarm Optimization for Water Conservation in Agricultural Projects2026
  5. 5System control technology water use using methods artificial intelligence and models – double organizations2024