Automated Enhancement of Aquaculture Species Growth by Observing the Water Quality Using Iot

  • Prabhu T Assistant Professor,Department of EEE,K.S.Rangasamy College of Technology, Tamil Nadu, India.
Keywords: pH Sensor, Turbidity Sensor, Temperature Sensor, Internet of Things (IoT)

Abstract

Aquaculture Species Observing System’s main objective is to check the quality of the water by using temperature, pH and turbidity sensors in a water resources i.e. lake, pond. As fish is a significant protein rich food resource and there have been shrilled increase in the demand of fish products due to the increasing population pressure in this century. Thus, to meet the demand of present food supply, water quality management is a necessary step that is required as taken up. The conventional system has some shortness in practice. So, the solution is provided in IoT platform and some additional features have been included in the system for efficient management. Like, the GUI was designed, so that the users and investigators can observe, investigate and analyse the related data. The user interface allows us to convey the analysed data in the form of a message to the users in their respective local languages at their Mobile Phones as SMS and to take necessary steps in unhygienic environmental conditions. With this even semi-literate user can interact with the system and can understand the information to take suitable actions.

References

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Published
2019-11-02
How to Cite
T, P. (2019). Automated Enhancement of Aquaculture Species Growth by Observing the Water Quality Using Iot. International Research Journal of Multidisciplinary Technovation, 1(6), 156-164. Retrieved from https://mapletreejournals.com/index.php/irjmt/article/view/274