AI Revolutionizing Water Management: Challenges and Opportunities
Rashmi Yadav*
ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India
Ajay Kushwah
ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India
Chinmayee Parida
ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India
Priyanka Kashyap
Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh (492 012), India
DOI: NIL
Keywords: Artificial intelligence, Data-driven models, Sustainable, Water resource management
Abstract
Water resource management is a complex task involving conservation, strategic collection and efficient distribution. Traditional methods are insufficient, necessitating comprehensive, sustainable strategies. This article explores the potential of AI in overcoming water management challenges. It highlights AI's advantages: multi-objective optimization, data-driven models and collaborative decision-making. However, it acknowledges hurdles like data quality, AI complexity and cost-effective implementation. It emphasizes sharing information, standardizing data, regulations, expertise development and academia-industry partnerships. AI can transform water management by enhancing quality, reducing waste and ensuring sustainability. Global cooperation and knowledge sharing are vital to address AI disparities in water management adoption.
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Reference
Chang, F.J., Chang, L.C., Chen, J.F., 2023. Artificial intelligence techniques in hydrology and water resources management. Water 15(10), 1846. DOI: https://doi.org/10.3390/w15101846.
Ghobadi, F., Kang, D., 2023. Application of machine learning in water resources management: A systematic literature review. Water 15(4), 620. DOI: https://doi.org/10.3390/w15040620.