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<p style="text-align:justify"><span style="font-size:16px">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.</span></p>
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<p style="text-align:justify"><span style="font-size:16px"><strong>Rashmi Yadav<sup>*</sup></strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Ajay Kushwah</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Chinmayee Parida</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Priyanka Kashyap</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh (492 012), India</em></span></p>
How to cite
<p style="text-align:justify"><span style="font-size:14px">Yadav, R., Kushwah, A., Parida, C., Kashyap, P., 2023. AI revolutionizing water management: Challenges and opportunities. <em>Biotica Research Today</em> 5(11), 777-779.</span></p>
Reference
<p style="text-align:justify"><span style="font-size:16px">Chang, F.J., Chang, L.C., Chen, J.F., 2023. Artificial intelligence techniques in hydrology and water resources management. <em>Water</em> 15(10), 1846. DOI: https://doi.org/10.3390/w15101846.</span></p> <p style="text-align:justify"><span style="font-size:16px">Ghobadi, F., Kang, D., 2023. Application of machine learning in water resources management: A systematic literature review. <em>Water</em> 15(4), 620. DOI: https://doi.org/10.3390/w15040620.</span></p>
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