Work

Water Quality Monitoring Using IoT & Machine Learning

Year: 2022

Type: conference-paper

Source: IST-Africa Conference (IST-Africa)

DOI: 10.23919/ist-africa56635.2022.9845590

Authors: Andrew Omambia, Benard Maake, Anthony Wambua

Institutions: University of Eastern Africa, Baraton, Kisii University, Daystar University

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4293247255

FWCI: 14.41

Cites:

Cited by: 24

Related to: 10