Smart Aquaculture Using Data Mining

Abstract

The common method of water quality testing is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. So, to overcome this problem we have made this system. Aquaculture is the breeding or farming of aquatic organisms in a climate-controlled environment. Aquaculture involves breeding freshwater populations under controlled and continuously monitored environment. Water quality is a crucial factor while breeding aquatic organisms. The System continuously monitors the quality of water with the help of various sensors. The sensed data is transferred to the cloud and then to the end user. The sensed data is viewed by the user with the help of an Android application and provide relevant suggestions to the user.

Examining the effect of aquaculture using sensor‐based technology with machine learning algorithm

“…Similar to Chandanapalli (2014), an android-based application has been developed and this method uses node microcontroller unit (Prabhu, 2018;Wei, 2010). Here, a non-polynomial fitness function will be evaluated which will be stored in the database and then the information will be passed to the android application.…”

“…All the users in the application can monitor the changes from phase to phase. In this process, even if exact solutions are not obtained, near exact solutions will be found (Prabhu, 2018). The same method is implemented (Ramya, Rohini, & Ravi, 2019) but instead of android application, an online monitoring method using ThingSpeak is used for precise monitoring.…”