Open Access
Issue
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
Article Number 00093
Number of page(s) 11
DOI https://doi.org/10.1051/e3sconf/202447700093
Published online 16 January 2024
  1. https://en.m.wikipedia.org/wiki/Pamba_River [Google Scholar]
  2. Growing Pollution Rates Of The Pamba River In Kerala, Earth5r, 2020, https://earth5r.org/pamba-river-pollution-kerala-circular-economy [Google Scholar]
  3. Mohammad Salah Uddin Chowdury, Talha Bin Emran, Subhasish Ghosh, Abhijit Pathak, Mohd. Manjur Alam, Nurul Absar, Karl Andersson, Mohammad Shahadat Hossain, IoT Based Real-time River Water Quality Monitoring System, Procedia Computer Science, Vol. 155, 2019,doi: 10.1016/j.procs.2019.08.025. [Google Scholar]
  4. M. Mukta, S. Islam, S. D. Barman, A. W. Reza and M. S. Hossain Khan, “Iot based Smart Water Quality Monitoring System,” 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), Singapore, 2019, pp. 669-673, doi: 10.1109/CCOMS.2019.8821742. [Google Scholar]
  5. Harish H. Kenchannavar;Prasad M. Pujar;Raviraj M. Kulkarni, Umakant P. Kulkarni, “Evaluation and Analysis of Goodness of Fit for Water Quality Parameters using Linear Regression through the Internet of Things (IoT) based Water Quality Monitoring System”, IEEE Internet of Things Journal, Pages1-1, 2021. [Google Scholar]
  6. Ismail, Rosli & Shafinah, Kamarudin & Latif, Kamil, “A Proposed Model of Fishpond Water Quality Measurement and Monitoring System based on Internet of Things (IoT)”. IOP Conference Series: Earth and Environmental Science, Vol.494 no.012016, doi: 10.1088/1755-1315/494/1/012016. [Google Scholar]
  7. R. Gonçalves, J. J. M. Soares, and R. M. F. Lima, “An IoT-Based Framework for Smart Water Supply Systems Management,” Future Internet, vol. 12, no. 7, pp. 114, Jul. 2020, doi: 10.3390/fi12070114. [CrossRef] [Google Scholar]
  8. F. Rozie, I. Syarif and M. U. H. Al Rasyid, “Design and implementation of Intelligent Aquaponics Monitoring System based on IoT,” 2020 International Electronics Symposium (IES), 2020, pp. 534-540, doi: 10.1109/IES50839.2020.9231928. [Google Scholar]
  9. S. Praveen Kumar, K. Harini, L. Santhiya, U. Udhayapriya, “INTELLIGENT WATER QUALITY MANAGEMENT SYSTEM USING IOT”, International Research Journal of Modernization in Engineering Technology and Science, Vol.4, no.05, 2022, pp.1104-1108. [Google Scholar]
  10. Sona Pawara,Siddhi Nalam,Saurabh Mirajkar,Shruti Gujar,Vaishali Nagmoti, “ Remote monitoring of waters quality from reservoirs”, 2nd International Conference for Convergence in Technology, India, 2017. [Google Scholar]
  11. K. Gopavanitha, S. Nagaraju,” A low-cost system for real time water quality monitoring and controlling using IoT”, International Conference on Energy, Communication, Data Analytics and Soft Computing, India, 2017. [Google Scholar]
  12. Dziri Jalal,Tahar Ezzedine, “Towards a water quality monitoring system based on wireless sensor networks”, International Conference on Internet of Things, Embedded Systems and Communications, Tunisia, 2017. [Google Scholar]
  13. Nikhil, Kedia, Water Quality Monitoring for Rural Areas- A Sensor Cloud Based Economical Project, in 1st International Conference on Next Generation Computing Technologies (NGCT-2015) Dehradun, India, 4-5 September 2015. 978-1-4673-6809-4/15/$31.00 ©2015 IEEE [Google Scholar]
  14. Sathira Hettiarachchi, Divan Proboshena, Lakshan Stembo,Hashan Rajapaksha, Rajitha de Silva & Dasuni P Nawinna,” An Integrated Platform of Water Quality Management for National Water Supply and Drainage Board”, IEEE 14th International Conference on Industrial and Information Systems (ICIIS), 2019, pp.192-197, doi: 10.1109/ICIIS47346.2019.9063320 [Google Scholar]
  15. Moparthi, Nageswara Rao & Mukesh, Ch & Sagar, P.. (2018). Water Quality Monitoring System Using IOT. 1-5, doi: 10.1109/AEEICB.2018.8480963. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.