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Abstract
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Article Information:
The Use of Vision in a Sustainable Aquaculture Feeding System
Jer-Vui Lee, Joo-Ling Loo, Yea-Dat Chuah, Pek-Yee Tang, Yong-Chai Tan and Wei- Jian Goh
Corresponding Author: Jer-Vui Lee
Submitted: January 05, 2013
Accepted: February 18, 2013
Published: October 20, 2013 |
Abstract:
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Dairy feeding causes significant water pollution. By controlling the proper amount of feed, reducing the waste to minimum will effectively reduce the problem of water contamination. In this project, a Sustainable Aquaculture Feed System (SAFS) has been designed and developed. It can automatically feed the fishes by estimating fishes’ appetite through machine vision. The discussion includes design and optimization of the vision system using Labview as well as the integration of various components in the SAFS. With the developed algorithm, the system is able to detect the presence of fishes and count the number of fishes. The outcome is able to estimate and infer the fish appetite. Therefore, the feeding time can be planned ahead. In addition, the system includes a Graphical User Interface (GUI) for monitoring, display the feeding status and sensors reading such as pH, turbidity and temperature.
Key words: Aquaculture, body, fish count and feeding, machine vision, smart system, ,
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Cite this Reference:
Jer-Vui Lee, Joo-Ling Loo, Yea-Dat Chuah, Pek-Yee Tang, Yong-Chai Tan and Wei- Jian Goh, . The Use of Vision in a Sustainable Aquaculture Feeding System. Research Journal of Applied Sciences, Engineering and Technology, (19): 3658-3669.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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