AI in water

r

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.

Main topic

challenges

data quality

collection

sustainability

conservation

recycling

water quality

treatment

applications

monitoring

sensors

prediction

forecasting

optimization and contral

efficiency

automation

leakage detection

infrastructure health

decision support

resourse managment

policy imlementation