Browsing by Author "Neha Mumtaz, Tabish Izhar, Jazbi Izhar, Syed Aqeel Ahmad"

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    Empowering water security: the synergy of automation and IoT integration
    (Elsevier, 2025) Neha Mumtaz, Tabish Izhar, Jazbi Izhar, Syed Aqeel Ahmad
    The integration of automation and the Internet of Things (IoT) is revolutionizing water security by combining smart sensors, data analytics, and automated systems within water management frameworks. This integration addresses challenges such as water scarcity, quality assurance, efficient resource utilization, and infrastructure resilience. Key benefits include real-time monitoring and control, data-driven decision making, resource optimization, and enhanced safety. IoT sensors provide continuous data streams, enabling proactive interventions and minimizing risks. Automated systems adjust water usage and optimize processes, leading to cost savings and environmental benefits. However, challenges like data security, interoperability, scalability, and the role of human operators must be addressed. Future advancements in AI, machine learning, blockchain, edge computing, and collaborative platforms promise to enhance these integrated solutions further, driving innovation, resilience, and sustainability in water management.