Analysis of temperature and dissolved oxygen on fish pond based on smart water monitoring system

As we know, water quality is an imperative factor in refined any amphibian life for their survival and development as various species require shifts ideal water quality. The conventional methodology of water quality monitoring has a complex process as it needs to gather the information manually and on location sampling from an alternate area and the water samples were test in the lab through investigative advancements for analysis. To overcome this difficulty, another methodology of the Internet of Things (IoT) based water quality monitoring has been proposed to screen the quality of water progressively. The framework comprises of some sensor which estimates the values of water quality parameter, for example, dissolved oxygen and temperature. The gathered information from the real-time data measurement will be sent to the server cloud and can be accessed by a smart gadget or PC for observing, controlling, checking and analysis. An alarm message will be sent to advise the user through smart gadgets or PC when there is a deviation of water quality parameter surpasses the threshold limit. The user can be reacted in when a deviation of the parameter is recognized to keep the high danger of misfortune cataclysmic. The confirmation of portable water quality estimation and the smart water quality framework will be led to affirm both of the gathered information are uniform. The information gathered were analysis utilizing the Statistical Package for Social Sciences (SPSS) programming to decide the correlation and regression evaluating in assessing the relationship between the dissolved oxygen contacts towards surface water temperature.