Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management

Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management

The scheme of water resources management is necessary for reducing water scarcity in arid areas and improving water availability in general. However, water leak detection and irrigation scheduling traditional AI models are often computationally intensive and require complex hyperparameter tuning, ma...

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Bibliographic Details
Main Authors: Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
AI-driven optimization
IoT sensor data
sustainable water management
ensemble learning
irrigation scheduling
leak detection
Online Access:https://ieeexplore.ieee.org/document/11008568/
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https://ieeexplore.ieee.org/document/11008568/

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