Remote Intelligent For Oxygen Prediction Content in Prawn Culture System

Authors

  • V. Vinothini  Computer Science Department, IFET College of Engineering, India
  • M. Sankari  Computer Science Department, IFET College of Engineering, India
  • M. Pajany  Computer Science Department, IFET College of Engineering, India

Keywords:

Global System for Mobile Communication (GSM), automation, Oxygen sensor

Abstract

In this work monitoring the Dissolved oxygen concentration in water tank. The problems caused by manual monitoring in prawn farming, a remote intelligent for oxygen content prediction in prawn culture system are proposed. The proposed system is on oxygen sensor in detecting the water quality and measuring the oxygen level in the water and Short Message Service (SMS) technology is delivering alert to the owner upon detection of water quality in oxygen level. The SMS can be send to the owner through Global System for Mobile Communication (GSM).Dissolved oxygen, Temperature, pH are the three water quality parameter that are critical to the prawn health. Remote 24 hour monitoring of the prawn tank to avoid the organism death caused by oxygen drops. If the oxygen level is low, the motor will be automatically ON / OFF, at the same time the message can be send to the owner. In this paper monitoring the oxygen level and SMS send to GSM by automation techniques.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Vinothini, M. Sankari, M. Pajany, " Remote Intelligent For Oxygen Prediction Content in Prawn Culture System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.223-228, March-April-2017.