The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine

The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine

Fish Hunger behaviour is one of the important element in determining the fish feeding routine, especially for farmed fishes. Inaccurate feeding routines (under-feeding or over-feeding) lead the fishes to die and thus, reduces the total production of fishes. The excessive food which is not eaten b...

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Main Authors: Taha, Zahari, Mohd Razman, Mohd Azraai, A. Adnan, Fatihah, Abdul Ghani, Ahmad Shahrizan, P.P. Abdul Majeed, Anwar, Musa, Rabiu Muazu, Sallehudin, Muhammad Firdaus, Mukai, Yukinori
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Physics Publishing 2018
Subjects:
Q Science (General)
QA76 Computer software
Online Access:http://irep.iium.edu.my/65312/
http://irep.iium.edu.my/65312/
http://irep.iium.edu.my/65312/
http://irep.iium.edu.my/65312/1/65312_The%20Identification%20of%20Hunger%20Behaviour%20of%20Lates_conference%20article.pdf
http://irep.iium.edu.my/65312/2/65312_The%20Identification%20of%20Hunger%20Behaviour%20of%20Lates_scopus.pdf
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recordtype eprints
spelling iium-653122019-11-29T05:05:03Z http://irep.iium.edu.my/65312/ The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine Taha, Zahari Mohd Razman, Mohd Azraai A. Adnan, Fatihah Abdul Ghani, Ahmad Shahrizan P.P. Abdul Majeed, Anwar Musa, Rabiu Muazu Sallehudin, Muhammad Firdaus Mukai, Yukinori Q Science (General) QA76 Computer software Fish Hunger behaviour is one of the important element in determining the fish feeding routine, especially for farmed fishes. Inaccurate feeding routines (under-feeding or over-feeding) lead the fishes to die and thus, reduces the total production of fishes. The excessive food which is not eaten by fish will be dissolved in the water and thus, reduce the water quality (oxygen quantity in the water will be reduced). The reduction of oxygen (water quality) leads the fish to die and in some cases, may lead to fish diseases. This study correlates Barramundi fish-school behaviour with hunger condition through the hybrid data integration of image processing technique. The behaviour is clustered with respect to the position of the centre of gravity of the school of fish prior feeding, during feeding and after feeding. The clustered fish behaviour is then classified by means of a machine learning technique namely Support vector machine (SVM). It has been shown from the study that the Fine Gaussian variation of SVM is able to provide a reasonably accurate classification of fish feeding behaviour with a classification accuracy of 79.7%. The proposed integration technique may increase the usefulness of the captured data and thus better differentiates the various behaviour of farmed fishes. Institute of Physics Publishing 2018-03-21 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/65312/1/65312_The%20Identification%20of%20Hunger%20Behaviour%20of%20Lates_conference%20article.pdf application/pdf en http://irep.iium.edu.my/65312/2/65312_The%20Identification%20of%20Hunger%20Behaviour%20of%20Lates_scopus.pdf Taha, Zahari and Mohd Razman, Mohd Azraai and A. Adnan, Fatihah and Abdul Ghani, Ahmad Shahrizan and P.P. Abdul Majeed, Anwar and Musa, Rabiu Muazu and Sallehudin, Muhammad Firdaus and Mukai, Yukinori (2018) The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine. In: 4th Asia Pacific Conference on Manufacturing Systems and the 3rd International Manufacturing Engineering Conference, APCOMS-iMEC 2017, 7-8 December 2017, Yogyakarta; Indonesia. http://iopscience.iop.org/article/10.1088/1757-899X/319/1/012028/pdf 10.1088/1757-899X/319/1/012028
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic Q Science (General)
QA76 Computer software
spellingShingle Q Science (General)
QA76 Computer software
Taha, Zahari
Mohd Razman, Mohd Azraai
A. Adnan, Fatihah
Abdul Ghani, Ahmad Shahrizan
P.P. Abdul Majeed, Anwar
Musa, Rabiu Muazu
Sallehudin, Muhammad Firdaus
Mukai, Yukinori
The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
description Fish Hunger behaviour is one of the important element in determining the fish feeding routine, especially for farmed fishes. Inaccurate feeding routines (under-feeding or over-feeding) lead the fishes to die and thus, reduces the total production of fishes. The excessive food which is not eaten by fish will be dissolved in the water and thus, reduce the water quality (oxygen quantity in the water will be reduced). The reduction of oxygen (water quality) leads the fish to die and in some cases, may lead to fish diseases. This study correlates Barramundi fish-school behaviour with hunger condition through the hybrid data integration of image processing technique. The behaviour is clustered with respect to the position of the centre of gravity of the school of fish prior feeding, during feeding and after feeding. The clustered fish behaviour is then classified by means of a machine learning technique namely Support vector machine (SVM). It has been shown from the study that the Fine Gaussian variation of SVM is able to provide a reasonably accurate classification of fish feeding behaviour with a classification accuracy of 79.7%. The proposed integration technique may increase the usefulness of the captured data and thus better differentiates the various behaviour of farmed fishes.
format Conference or Workshop Item
author Taha, Zahari
Mohd Razman, Mohd Azraai
A. Adnan, Fatihah
Abdul Ghani, Ahmad Shahrizan
P.P. Abdul Majeed, Anwar
Musa, Rabiu Muazu
Sallehudin, Muhammad Firdaus
Mukai, Yukinori
author_facet Taha, Zahari
Mohd Razman, Mohd Azraai
A. Adnan, Fatihah
Abdul Ghani, Ahmad Shahrizan
P.P. Abdul Majeed, Anwar
Musa, Rabiu Muazu
Sallehudin, Muhammad Firdaus
Mukai, Yukinori
author_sort Taha, Zahari
title The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
title_short The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
title_full The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
title_fullStr The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
title_full_unstemmed The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
title_sort identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
publisher Institute of Physics Publishing
publishDate 2018
url http://irep.iium.edu.my/65312/
http://irep.iium.edu.my/65312/
http://irep.iium.edu.my/65312/
http://irep.iium.edu.my/65312/1/65312_The%20Identification%20of%20Hunger%20Behaviour%20of%20Lates_conference%20article.pdf
http://irep.iium.edu.my/65312/2/65312_The%20Identification%20of%20Hunger%20Behaviour%20of%20Lates_scopus.pdf
first_indexed 2023-09-18T21:32:42Z
last_indexed 2023-09-18T21:32:42Z
_version_ 1777412616620081152

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