Smart River Water Quality and Level Monitoring: a Hybrid Neural Network Approach
Author:
Affiliation:
1. SRM TRP Engineering College,Department of ECE,Tiruchirappalli,India
2. Sriram Engineering College,Department of ECE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10073586/10073999/10074495.pdf?arnumber=10074495
Reference17 articles.
1. The real time monitoring of water quality in IoT environment;vijayakumar,0
2. Ganga Water Quality Monitoring System IoT Based
3. An IoT Based Dam Water Management System for Agriculture
4. Water Quality Monitoring System Using IoT and Machine Learning
5. River Water Quality Monitoring and Simulation Based on WebGIS — Anhui Yinghe River as an Example
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