2024 International Conference on Computing, Sciences and Communications (ICCSC) 979-8-3503-5364-8/24/$31.00 ©2024 IEEE An IoT-based approach to monitor the health of water bodies nearby Indian Villages Shweta Singh Department of Computer Applications KIET Group of Institutions Delhi-NCR region, Ghaziabad, India shweta.vidudi272@gmail.com Manish Bhardwaj Department of Computer Science and Information Technology KIET Group of Institutions Delhi-NCR region, Ghaziabad, India aapkaapna13@gmail.com Prashant Agarwal Department of Computer Applications KIET Group of Institutions Delhi-NCR region, Ghaziabad, India prashant.agarwal@kiet.edu Rishika Department of Computer Applications KIET Group of Institutions Delhi-NCR region, Ghaziabad, India rishika.2224mca1112@kiet.edu Amit Kumar Gupta Department of Computer Applications KIET Group of Institutions Delhi-NCR region, Ghaziabad, India amit.gupta@kiet.edu Kratika Nigam Department of Computer Applications KIET Group of Institutions Delhi-NCR region, Ghaziabad, India kratika.2224mca1137@kiet.edu Abstract— In 2018, 351 contaminated river segments in India were identified by the Central Pollution Control Board (CPCB). Thirty-one provinces and the union territories (UT) have rivers and streams that failed to meet the criteria for the evaluation of water quality to identify polluted river lengths. to protect everyone's life on the planet. In recent years, a number of writers have put forth architectural-based solutions that emphasise increased efficiency and adaptability. New sensor capabilities are being created by improvements in sensor detection and communication. Water Quality Monitoring (WQM) is an economical and effective method that uses Internet of Things (IOT) technology to monitor the quality of water. These sensors were interfaced with a Microcontroller Unit (MCU), and additional processing was carried out on a Personal Computer (PC). An IOT-based ThingSpeak application is used to transmit the acquired data to the cloud in order to track the water quality. The accuracy of the prediction is increased with the proposed system, and the power of drawing conclusions is enhanced with IOT technology. Keywords— Water Quality Monitoring, Internet of Things, Sensor Detection, Pollution Detection, ThingSpeak Application I. INTRODUCTION Water quality monitoring stands as a cornerstone in environmental conservation and management, especially concerning the safeguarding of freshwater resources against pollution and contamination [1]. With the ever-increasing anthropogenic activities and industrialization, ensuring the purity and safety of water bodies has become imperative for sustaining ecosystems, supporting human health, and fostering socio-economic development. Over the years, various methodologies and technologies have been employed for monitoring water quality, each with its own set of advantages and limitations. Traditional approaches predominantly relied on manual sampling techniques coupled with laboratory analysis, offering precise but often sporadic snapshots of water quality [2]. While these methods provided valuable insights, they were constrained by their labor-intensive nature, high costs, and limited spatial and temporal coverage. Moreover, the latency in data acquisition and analysis hindered prompt responses to pollution incidents, posing significant challenges in effective environmental management. In light of these limitations, recent advancements especially with regard to technology and the rise with the Internet of Things (IoT), have revolutionized water quality monitoring practices, offering novel solutions to overcome existing constraints. IoT technology integrates a network of linked devices featuring actuators, sensors, and communication interfaces incorporated in order to facilitate real-time data gathering, analysis, and decision-making in several fields. Practitioners and researchers have worked to create cutting-edge water quality monitoring devices that can continuously, remotely, and automated data acquisition, thereby enhancing the accuracy, efficiency, and responsiveness of environmental monitoring efforts [3]. However, despite the potential benefits of IoT-based water quality monitoring, significant challenges have persisted, hindering the widespread adoption and deployment of such systems. One of the foremost challenges lies in the integration of IoT devices with robust and reliable sensor technologies capable of accurately measuring key water quality parameters. Traditional sensors often suffer from limitations such as drift, calibration requirements, and susceptibility to environmental factors, compromising the accuracy and reliability of collected data. Moreover, ensuring seamless communication and interoperability among heterogeneous IoT devices remains a daunting task, particularly in complex and dynamic aquatic environments. Additionally, the scalability and sustainability of IoT-based monitoring systems, especially in resource-constrained settings, pose significant concerns, necessitating the development of cost-effective and energy-efficient solutions. This paper talks about the existing system in brief, the literature survey helps us to understand more about the topic and existing solutions. After it includes the proposed scenario including the algorithms, experimental set up and so on. After proposed scenario the working methodology, technology specifications and performance analysis is also done at the end. Since every development have the scope of improvement and enhance and so as ours. We added the conclusion and the future scope in the end. 2024 International Conference on Computing, Sciences and Communications (ICCSC) | 979-8-3503-5364-8/24/$31.00 ©2024 IEEE | DOI: 10.1109/ICCSC62048.2024.10830366 Authorized licensed use limited to: Indian Institute Of Technology (Banaras Hindu University) Varanasi. Downloaded on January 17,2025 at 10:50:39 UTC from IEEE Xplore. Restrictions apply.