Design and implementation of water quality innovative monitoring system using temperature and turbidity data comparison with arduino Available to Purchase

The main aim of this research is to monitor the polluted particles present in water and get the notification of pollution present in water through this innovative monitoring method. The required samples for the analysis are calculated using clinicalc.com. A total of 10 samples were collected from different water quality monitoring by Arduino available in kaggle. These samples were divided into a training dataset of 10 (50%) and a test dataset 10 (50%). Output values were calculated to quantify the performance of the NodeMCU (Node Micro Controller Unit) comparison with Arduino. The alpha is 0.05, beta value is 0.2 and the gpower is 0.8. On performing an independent samples T-test on the two groups considered. The temperature should be between 28 to 44 centigrade and the turbidity value is less than 4 ntu (Nephelometric Turbidity Unit). The NodeMCU gets better results than Arduino. Finally NodeMCU appears significantly better than Arduino. The statistical significance value is 0.001 (p<0.05), standard error rate is given as 0.05 and algorithm power is given as 0.80 respectively. The experimental results show that the NodeMCU gives better water quality monitoring determination than the Arduino.