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Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II

Research Article

Development of Cost-Effective Water Quality Monitoring for Potable Drinking Water Using IoT

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  • @INPROCEEDINGS{10.1007/978-3-031-48891-7_26,
        author={Mareddy Anusha and T. P. Kausalya Nandan and Cherukuri Rani Yoshitha and B. Sai Manoj and D. Sai Namratha},
        title={Development of Cost-Effective Water Quality Monitoring for Potable Drinking Water Using IoT},
        proceedings={Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023,  Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II},
        proceedings_a={IC4S PART 2},
        year={2024},
        month={1},
        keywords={IoT water quality ESP-32 real time assessment Blynk app},
        doi={10.1007/978-3-031-48891-7_26}
    }
    
  • Mareddy Anusha
    T. P. Kausalya Nandan
    Cherukuri Rani Yoshitha
    B. Sai Manoj
    D. Sai Namratha
    Year: 2024
    Development of Cost-Effective Water Quality Monitoring for Potable Drinking Water Using IoT
    IC4S PART 2
    Springer
    DOI: 10.1007/978-3-031-48891-7_26
Mareddy Anusha,*, T. P. Kausalya Nandan, Cherukuri Rani Yoshitha, B. Sai Manoj, D. Sai Namratha
    *Contact email: Anusha.m@bvrit.ac.in

    Abstract

    One of the main substances that significantly affects ecosystems is water. Unfortunately, with increased urbanization, sewage, abstraction of chemical fertilizers and pesticides in agriculture, which contaminate water, is now widely exploited. To monitor quality of the water across wide region, like rivers, lakes, or hydroponics, it is thus required to install a system. According to the state of world today, IoT and distant sensing methods are utilized in a variety of study fields to monitor, collect and analyze data from distant locations. The proposed system-DCWQM includes a wide variety of sensors interfaced to ESP-32 for measuring physical and chemical parameters of drinking water. This method allows analyzing of data that has been posted online through Blynk App and the real-time assessment of water body quality.

    Keywords
    IoT water quality ESP-32 real time assessment Blynk app
    Published
    2024-01-05
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-48891-7_26
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