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
