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Artificial Intelligence for Water Resource Planning and Management
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Author(s): Richa Saxena (Invertis University, India), Vaishnavi Srivastava (Chhatrapati Shahu Ji Maharaj University, India), Dipti Bharti (Darbhanga College of Engineering, India), Rahul Singh (Darbhanga College of Engineering, India), Amit Kumar (Indian Institute of Technology, Ropar, India)and Abhilekha Sharma (Noida International University, 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.ch003
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Abstract
In an era marked by growing water scarcity and increasing demand for efficient resource allocation, the integration of artificial intelligence (AI) has emerged as a crucial approach for revolutionizing water resource planning and management. The chapter emphasizes how important water management is to maintaining ecosystems, sustaining human livelihoods, and promoting economic growth. It looks at how AI, which includes machine learning, data analytics, and optimization approaches, acts as a keystone in improving the precision of projections of water availability, allowing stakeholders to make wise decisions in real-time. These programs provide water managers with useful information that they can use to prevent emergencies related to water. The international community may collaborate to achieve sustainable water security by utilizing AI capacity to decode complicated patterns, predict possible outcomes, and optimize resource distribution. It is a necessary step towards a more resilient and water-secure future as difficulties related to water continue to worsen.
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