Revolutionizing Water Quality Monitoring with Artificial Intelligence: A Systematic Review
Traditional water quality monitoring methods face significant limitations, including delayed data acquisition, high operational costs, and inadequate spatial and temporal resolution, which hinder timely responses to contamination events. This systematic review addresses these gaps by evaluating the...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Engiscience Publisher
2025-06-01
|
| Series: | Journal of Studies in Science and Engineering |
| Subjects: | |
| Online Access: | https://engiscience.com/index.php/josse/article/view/633 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|