AI in water

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AI in water

4. Lack of human judgment: AI algorithms may not always consider the subjective factors involved in water management decisions, such as cultural or social considerations. 5. Limited accessibility: The implementation of AI in water management may pose challenges for regions with limited access to technology or lack of technical expertise.

decision support

policy imlementation

resourse managment

optimization and contral

leakage detection

infrastructure health

efficiency

automation

applications

prediction

forecasting

monitoring

sensors

sustainability

water quality

treatment

conservation

recycling

challenges

data quality

collection

Main topic