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Artificial Intelligence Techniques in Water Purification and Utilization

N. Suthanthira Vanitha, K. Radhika, Sampath Boopathi

2023Advances in environmental engineering and green technologies book series105 citationsDOI

Abstract

In this chapter, the various water monitoring systems—internet of-things, wireless network systems, cloud computing, optimization systems, and reporting systems—are illustrated. The development of artificial intelligence in water management has the potential to change and manage water resources. The use of AI and cutting-edge technologies such as data analytics, regression models, and algorithms simplifies the water management process. AI-based systems will be sustainable, cost-effective, and capable of predicting potential damage in order to optimize water management solutions with minimal waste. Machine learning algorithms support the water management process and improve the accuracy of sensor-based systems in agriculture.

Topics & Concepts

Cloud computingComputer scienceProcess (computing)Water resourcesWireless sensor networkAnalyticsArtificial intelligenceData scienceBiologyComputer networkEcologyOperating systemHydrological Forecasting Using AIWater Quality Monitoring TechnologiesFlood Risk Assessment and Management
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