TY - JOUR ID - 156294 TI - River Water Quality Monitoring Through IoT Enabled Technologies JO - Computational Algorithms and Numerical Dimensions JA - CAND LA - en SN - 2980-7646 AU - Muniz, Rita de Fátima AU - Almaz Ali Yousif, Badria AU - Shemshad, Azadeh AD - Federal University of Ceará, Fortaleza, CE, Brazil. AD - Department of Mathematics, College of Science and Arts, Al-Badaya 51951, Qassim University, Saudi Arabia. AD - Department of Accounting and Control, Erasmus University, Rotterdam, Netherlands. Y1 - 2022 PY - 2022 VL - 1 IS - 1 SP - 35 EP - 39 KW - Water Quality Monitoring KW - Sensors KW - Data Analysis KW - IoT DO - 10.22105/cand.2022.156294 N2 - In this paper named Internet of Things (IoT) based river water quality monitoring gives the outcome of Quality River of water by the advantage of various advanced techniques (IoT), Wireless Sensor Network (WSN). As part of this we have made the things to collect the data and transfer the data to the software that we have made. Then the data that we collect using various equipment and be analyzed using the software that we have designed. Other than that, the hardware of the system, data visualization, software, we automate the process of monitoring This water quality monitoring system has been the major issue and can be use the digital, intelligent, and effectively gives the quality of river water. UR - https://www.journal-cand.com/article_156294.html L1 - https://www.journal-cand.com/article_156294_314ca8c214397199646a0f47f595a7ea.pdf ER -