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JACIII Vol.20 No.1 pp. 111-116
doi: 10.20965/jaciii.2016.p0111
(2016)

Paper:

Machine Vision Support System for Monitoring Water Quality in a Small Scale Tiger Prawn Aquaculture

Reggie C. Gustilo* and Elmer P. Dadios**

*Electronics and Communications Engineering Department, De La Salle University
2401 Taft Ave, Manila 1004, Philippines

**Manufacturing Engineering and Management Department, De La Salle University
2401 Taft Ave, Manila 1004, Philippines

Received:
June 30, 2015
Accepted:
September 10, 2015
Online released:
January 19, 2016
Published:
January 20, 2016
Keywords:
automated aquaculture, fuzzy logic, machine vision, pattern recognition, water quality alarm and monitoring systems
Abstract

A fuzzy-based machine vision system was designed to support an industrial sensor based small scale tiger prawn aquaculture system. This system is based on the behavioral movements of tiger prawns as they are subjected to different stress levels such as unsafe values of dissolved oxygen, temperature, salinity and ph. Each parameter is carefully adjusted to trigger a change in the normal behavior or movement of tiger prawns. The change in the behavior of the tiger prawn, as seen by the machine vision system, may serve as a level detection or an alarm system that will aid the sensor based system in terms of monitoring the water quality of the aquaculture environment. This machine vision system may be used to trigger the actuators needed to correct the dangerous water quality parameter back to its safe level. This research is done in real time using two basic web cameras to support industry grade sensors in maintaining the safe water quality level for this small scale habitat.

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Last updated on Sep. 19, 2017