Articles | Volume 12, issue 1
https://doi.org/10.5194/dwes-12-31-2019
https://doi.org/10.5194/dwes-12-31-2019
Research article
 | 
25 Jun 2019
Research article |  | 25 Jun 2019

Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach

Punit Khatri, Karunesh Kumar Gupta, and Raj Kumar Gupta

Viewed

Total article views: 6,002 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,389 1,515 98 6,002 107 103
  • HTML: 4,389
  • PDF: 1,515
  • XML: 98
  • Total: 6,002
  • BibTeX: 107
  • EndNote: 103
Views and downloads (calculated since 07 Feb 2019)
Cumulative views and downloads (calculated since 07 Feb 2019)

Viewed (geographical distribution)

Total article views: 6,002 (including HTML, PDF, and XML) Thereof 5,159 with geography defined and 843 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Drinking-water quality monitoring is essential before consumption, as the available water is contaminated and can cause illness in an individual. The traditional methods for water quality monitoring require sample collection at different sites and a subsequent laboratory test which is labor- and cost-intensive. To, overcome this problem, a real-time drinking water quality measurement platform is designed which can provide on-site efficient water quality monitoring.