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.
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B.O. Ariagbofo
University of Science and Technology of Benin
G.O. Imakpokpomwan
University of Science and Technology of Benin
O.M. Aghedo
University of Science and Technology of Benin
University of Science and Technology of Benin
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Ariagbofo et al. (Thu,) studied this question.
synapsesocial.com/papers/69d0aff2659487ece0fa60bf — DOI: https://doi.org/10.5281/zenodo.19385007
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