IOT Integrated Water Quality Monitoring System
DOI:
https://doi.org/10.62760/iteecs.4.3.2025.147Keywords:
Water Quality Monitoring, IoT Monitoring, Real Time Monitoring, pH and Turbidity Sensors, Filtration SystemAbstract
The system is designed to provide comprehensive monitoring of water quality parameters, including pH level, and turbidity, in real-time. Central to the system is the utilization of advanced sensors integrated into a Node MCU microcontroller, which serves as the main control unit. The pH sensor monitors the acidity or alkalinity of the water, which is crucial for determining its suitability for various applications. Additionally, the turbidity sensor measures the cloudiness or haziness of the water caused by suspended particles, offering valuable information about its clarity and overall quality. The collected data from these sensors is transmitted wirelessly to an Internet of Things (IoT) application, where it is visualized and analysed in real-time. This enables stakeholders, including water management authorities, environmental agencies, and end-users, to monitor the quality of water remotely and take timely action if any anomalies are detected. The IoT application provides user-friendly interfaces and dashboards, allowing for easy interpretation of the data and facilitating informed decision-making. This ensures efficient distribution of water while maintaining its quality throughout the delivery process. Additionally, a filtration mechanism is integrated into the system to further enhance water quality by removing impurities and contaminants. This multi-stage filtration process ensures that the water delivered to end-users meets stringent quality standards and is safe for consumption and various other applications. The data from this sensor is seamlessly integrated into the IoT application, providing a comprehensive overview of water quality across the entire system.
References
Govt. of India, “Indian economic survey”, 2018. http://mofapp. nic.in:8080/economicsurvey/
D. Sharma, A. P. Bhondekar, A. Ojha, A. K. Shukla, & C. Ghanshyam, “A Technical Assessment of IOT for Indian Agriculture Sector”, In 47th Mid-Term Symposium on Modern Information and Communication Technologies for Digital India, Chandigarh.
R. Chaudhary, J. R. Pandey, P. Pandey, & P. Chaudhary, “Case study of Internet of Things in the area of Agriculture AGCO’s Fuse Technologies’ Connected Farm Services”, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 148-153, 2015.
https://doi.org/10.1109/ICGCIoT.2015.7380447
N. K. Verma & A. Usman, “Internet of Things (IoT): A relief for Indian farmers” In Global Humanitarian Technology Conference (GHTC), pp. 831-835, 2016.
https://doi.org/10.1109/GHTC.2016.7857376
K. Bekiroglu, S. Srinivasan, E. Png, R. Su, K. Poolla, and C. Lagoa, “An Internet of Things compliant model identification methodology for smart buildings. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 4440 - 4445, 2017.
https://doi.org/10.1109/CDC.2017.8264314
M. Ryu, J. Yun, T. Miao, I. Y. Ahn, S. C. Choi, & J. Kim, “Design and implementation of a connected farm for smart farming system”, 2015 IEEE Sensors, pp. 1 - 4, 2015.
https://doi.org/10.1109/ICSENS.2015.7370624
J. Kalathas, D. V. Bandekas, A. Kosmidis, & V. Kanakaris, “Seedbed based on IoT: A Case Study”, Journal of Engineering Science & Technology Review, Vol. 9, No. 2, pp. 1 - 6, 2016.
H. Wenting, X. Zhiping, Z. Yang, C. Pei, C. Xiangwei, & S. K. Ooi “Real-time remote monitoring system for crop water requirement information”, International Journal of Agricultural and Biological Engineering, Vol. 7, No. 6, pp. 37 - 46, 2014.
http://dx.doi.org/10.3965/j.ijabe.20140706.006
T. Baranwal, & P. K. Pateriya, “Development of IoT based smart security and monitoring devices for agriculture”, 2016 6th International Conference In Cloud System and Big Data Engineering (Confluence), pp. 597 - 602, 2016.
https://doi.org/10.1109/CONFLUENCE.2016.7508189
M. Lee, J. Hwang, & H. Yoe “Agricultural production system based on IoT”, 2013 IEEE 16th International Conference on Computational Science and Engineering, pp. 833 - 837, 2013.
https://doi.org/10.1109/CSE.2013.126
V. Deksnys et al. “Remote agriculture automation using wireless link and IOT gateway infrastructure”, 26th International Workshop on. Database and Expert Systems Applications (DEXA) 2015.
https://doi.org/10.1109/DEXA.2015.37
L. I. U. Dan, C. Xin, H. Chongwei & J. Liangliang, “Intelligent agriculture greenhouse environment monitoring system based on IOT technology“, International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS), Vol. 17, No. 6, pp. 487 - 490, 2022.
http://dx.doi.org/10.15837/ijccc.2022.6.5039
A. N. Harun, M. R. M. Kassim, I. Mat, & S. S. Ramli, “Precision irrigation using wireless sensor network”, 2015 International Conference on Smart Sensors and Application (ICSSA), pp. 71 - 75, 2015.
https://doi.org/10.1109/ICSSA.2015.7322513
V. V. H. Ram, H. Vishal, S. Dhanalakshmi, & P. Vidya “Regulation of water in agriculture field using Internet of Things”, 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR), pp. 112 - 115, 2015.
https://doi.org/10.1109/TIAR.2015.7358541
H. N. Hell, R. T. Sanchez, F. S. Valles et al., “A wireless sensors architecture for efficient irrigation water management”, Agricultural Water Management, Vol. 151, pp. 64 - 74, 2015.
https://doi.org/10.1016/J.AGWAT.2014.10.022
S. B. Saraf and D. H. Gawali “IoT-based smart irrigation monitoring and controlling system”, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp. 815-819, 2017.
https://doi.org/10.1109/RTEICT.2017.8256711
S. Namani “Smart agriculture based on cloud IOT and computing”, 2020 3rd International conference on Journal of Convergence Information Technology, pp. 553 - 556, 2020.
https://doi.org/10.1109/ICICT50521.2020.00094
A. Khattab, A. Abdelgawad, and K. Yelmarthi. ”Design and implementation of a cloud-based IoT scheme for precision agriculture”, 2016 28th International Conference on. Microelectronics (ICM), pp. 201 - 204, 2016.
https://doi.org/10.1109/ICM.2016.7847850
V. C. Patil, K. A. A. Gaadi, D. P. Biradar, & M. Rangaswamy, “Internet of things (Iot) and cloud computing for agriculture: An overview”, Agro-Informatics and Precision Agriculture (AIPA), pp. 292-296, 2012.
H. Channe, S. Kothari, & D. Kadam “Multidisciplinary model for smart agriculture using internet of things (IoT), sensors, cloud computing, mobile computing & big data analysis”, International Journal of Computer Technology & Applications, Vol. 6, No. 3, pp. 374 - 382.
W. Difallah, K. Benahmed, B. Draoui, & F. Bounaama, “Linear optimization model for efficient use of irrigation water”, International Journal of Agronomy, 2017.
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