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Artificial Intelligence Towards Water Conservation: Approaches, Challenges, and Opportunities
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Author(s): Ravi Sharma (Symbiosis Institute of International Business, Symbiosis International University, India)and Vivek Gundraniya (Symbiosis Institute of International Business, Symbiosis International University, India)
Copyright: 2020
Pages: 11
Source title:
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Source Author(s)/Editor(s): Gebrail Bekdaş (Istanbul University-Cerrahpaşa, Turkey), Sinan Melih Nigdeli (Istanbul University-Cerrahpaşa, Turkey)and Melda Yücel (Istanbul University-Cerrahpaşa, Turkey)
DOI: 10.4018/978-1-7998-0301-0.ch008
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Abstract
Innovation and technology are trending in the industry 4.0 revolution, and dealing with environmental issues is no exception. The articulation of artificial intelligence (AI) and its application to the green economy, climate change, and sustainable development is becoming mainstream. Water as a resource is one of them which has direct and indirect interconnectedness with climate change, development, and sustainability goals. In recent decades, several national and international studies revealed the application of AI and algorithm-based studies for integrated water management resources and decision-making systems. This chapter identifies major approaches used for water conservation and management. On the basis of a literature review, authors will outline types of approaches implemented through the years and offer instances of the ways different approaches selected for water conservation and management studies are relevant to the context.
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