DESIGN AND DEVELOPMENT OF A LOW-COST IOT-ENABLED REMOTE SENSING DEVICE FOR WATER QUALITY MONITORING IN DEVELOPING COUNTRIES

This study evaluates the effectiveness of an IoT-enabled remote sensing device for real-time water quality monitoring, tailored to the unique challenges of developing countries like Nigeria. Utilizing a NodeMCU ESP8266 microcontroller, temperature, TDS, and turbidity sensors, and Firebase Realtime Database for data storage, the system provides accurate and timely insights into water quality parameters. Tested in a controlled aquaculture pond, the device demonstrated its efficiency in gathering and transmitting data, supporting both environmental monitoring and aquaculture optimization. The system's low-cost, energy-efficient design makes it accessible for resource-constrained settings, addressing the historical underutilization of IoT technologies in developing nations. This innovation holds potential for broad applications, from sustainability research and guiding government policies to enable real-time monitoring of natural water bodies, promoting better water resource management and environmental stewardship.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-02
DOI
https://doi.org/10.5281/zenodo.19385007
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DESIGN AND DEVELOPMENT OF A LOW-COST IOT-ENABLED REMOTE SENSING DEVICE FOR WATER QUALITY MONITORING IN DEVELOPING COUNTRIES

E. Osse, G.O. Imakpokpomwan, B.O. Ariagbofo, O.M. Aghedo
Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring Technologies
article

DESIGN AND DEVELOPMENT OF A LOW-COST IOT-ENABLED REMOTE SENSING DEVICE FOR WATER QUALITY MONITORING IN DEVELOPING COUNTRIES

E. Osse, G.O. Imakpokpomwan, B.O. Ariagbofo, O.M. Aghedo
article en

Abstract

This study evaluates the effectiveness of an IoT-enabled remote sensing device for real-time water quality monitoring, tailored to the unique challenges of developing countries like Nigeria. Utilizing a NodeMCU ESP8266 microcontroller, temperature, TDS, and turbidity sensors, and Firebase Realtime Database for data storage, the system provides accurate and timely insights into water quality parameters. Tested in a controlled aquaculture pond, the device demonstrated its efficiency in gathering and transmitting data, supporting both environmental monitoring and aquaculture optimization. The system's low-cost, energy-efficient design makes it accessible for resource-constrained settings, addressing the historical underutilization of IoT technologies in developing nations. This innovation holds potential for broad applications, from sustainability research and guiding government policies to enable real-time monitoring of natural water bodies, promoting better water resource management and environmental stewardship.

Zenodo (CERN European Organization for Nuclear Research)
University of Science and Technology of Benin (BJ)
Openalex Percentile: Top 8%
Water Quality Monitoring Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.