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Revolutionizing Water Quality Monitoring: The Smart Tech Frontier
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Author(s): Ambati Vanshika (Sri Padmavati Mahila Visvavidyalayam, India), B. Ramya Kuber (Sri Padmavati Mahila Visvavidyalayam, India)and Nalluri Poojitha (Sri Padmavati Mahila Visvavidyalayam, India)
Copyright: 2024
Pages: 20
Source title:
Innovations in Machine Learning and IoT for Water Management
Source Author(s)/Editor(s): Abhishek Kumar (Chandigarh University, India), Arun Lal Srivastav (Chitkara University, India), Ashutosh Kumar Dubey (University of Castilla-La Mancha, Spain), Vishal Dutt (AVN Innovations Pvt. Ltd., India)and Narayan Vyas (AVN Innovations Pvt. Ltd., India)
DOI: 10.4018/979-8-3693-1194-3.ch008
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Abstract
Safe water is becoming a scarce resource, due to the combined effects of increased population, pollution, and climate changes. Due to the vast increase in global industrial output, rural to urban drift and the over-utilization of land, and high use of fertilizers in farms and sea resources, the quality of water available to people has deteriorated greatly. Around 40% of deaths are caused due to contaminated water in the world. Hence, there is a necessity to ensure supply of purified drinking water for the people both in cities and villages. Smart water quality monitoring systems have gained significant attention due to their ability to enhance water management practices and safeguard water resources. These systems integrate advanced technologies such as IoT sensors, data analytics, and machine learning algorithms to continuously monitor and assess water quality parameters in real-time. Smart water quality monitoring harnesses cutting-edge technologies, including internet of things (IoT), sensors, and data analytics, to revolutionize traditional water quality assessment methods.
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