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A Comprehensive Exploration of Machine Learning and IoT Applications for Transforming Water Management
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Author(s): Mandeep Kaur (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Rajni Aron (NMIMS University, India), Heena Wadhwa (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Righa Tandon (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Htet Ne Oo (Chitkara University Institute of Engineering and Technology, Chitkara University, India)and Ramandeep Sandhu (Lovely Professional University, India)
Copyright: 2024
Pages: 26
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.ch002
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Abstract
Water scarcity and environmental concerns have become pressing issues in the modern world, necessitating innovative approaches to water management. Global issues including water scarcity and environmental concerns now require creative and sustainable approaches to managing water resources. This chapter will examine how the internet of things (IoT) and cutting-edge technologies like machine learning (ML) are revolutionizing the way that water management is done. In this chapter, the effective uses of machine learning in water resource analysis will be examined. Forecasting water demand requires the use of ML algorithms, which help water managers predict consumption trends with accuracy. Predictive analytics can also be used to evaluate the distribution and availability of water, providing information on how to allocate and optimize water resources. The chapter concluded with revolutionary potential of machine learning and the internet of things in modernizing water management practices globally.
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