The identification of hunger behaviour of lates calcarifer using k-nearest neighbour

Fish Hunger behaviour is essential in determining the fish feeding routine, particularly for fish farmers. The inability to provide accurate feeding routines (under-feeding or over-feeding) may lead to the death of the fish and consequently inhibits the quantity of the fish produced. Moreover, the e...

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Main Authors:	Taha, Zahari, Mohd Razman, Mohd Azraai, A. Adnan, Fatihah, Abdul Majeed, Anwar P.P., Musa, Rabiu Muazu, Abdul Ghani, Ahmad Shahrizan, Sallehudin, Muhammad Firdaus, Mukai, Yukinori
Format:	Book Chapter
Language:	English English
Published:	Springer Nature Singapore Pte Ltd. 2018
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/65187/ http://irep.iium.edu.my/65187/ http://irep.iium.edu.my/65187/ http://irep.iium.edu.my/65187/2/65187_The%20identification%20of%20hunger%20behaviour%20of%20lates%20calcarifer%20_SCOPUS.pdf http://irep.iium.edu.my/65187/9/65187_The%20identification%20of%20hunger%20behaviour%20of%20lates%20calcarifer.pdf

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recordtype	eprints
spelling	iium-651872019-06-25T00:24:12Z http://irep.iium.edu.my/65187/ The identification of hunger behaviour of lates calcarifer using k-nearest neighbour Taha, Zahari Mohd Razman, Mohd Azraai A. Adnan, Fatihah Abdul Majeed, Anwar P.P. Musa, Rabiu Muazu Abdul Ghani, Ahmad Shahrizan Sallehudin, Muhammad Firdaus Mukai, Yukinori Q Science (General) Fish Hunger behaviour is essential in determining the fish feeding routine, particularly for fish farmers. The inability to provide accurate feeding routines (under-feeding or over-feeding) may lead to the death of the fish and consequently inhibits the quantity of the fish produced. Moreover, the excessive food that is not consumed by the fish will be dissolved in the water and accordingly reduce the water quality through the reduction of oxygen quantity. This problem also leads to the death of the fish or even spur fish diseases. In the present study, a correlation of Barramundi fish-school behaviour with hunger condition through the hybrid data integration of image processing technique is established. The behaviour is clustered with respect to the position of the school size as well as the school density of the fish before feeding, during feeding and after feeding. The clustered fish behaviour is then classified through k-Nearest Neighbour (k-NN) learning algorithm. Three different variations of the algorithm namely, fine, medium and coarse are assessed on its ability to classify the aforementioned fish hunger behaviour. It was found from the study that the fine k-NN variation provides the best classification with an accuracy of 88%. Therefore, it could be concluded that the proposed integration technique may assist fish farmers in ascertaining fish feeding routine Springer Nature Singapore Pte Ltd. 2018 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/65187/2/65187_The%20identification%20of%20hunger%20behaviour%20of%20lates%20calcarifer%20_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/65187/9/65187_The%20identification%20of%20hunger%20behaviour%20of%20lates%20calcarifer.pdf Taha, Zahari and Mohd Razman, Mohd Azraai and A. Adnan, Fatihah and Abdul Majeed, Anwar P.P. and Musa, Rabiu Muazu and Abdul Ghani, Ahmad Shahrizan and Sallehudin, Muhammad Firdaus and Mukai, Yukinori (2018) The identification of hunger behaviour of lates calcarifer using k-nearest neighbour. In: Intelligent Manufacturing & Mechatronics. Lecture Notes in Mechanical Engineering . Springer Nature Singapore Pte Ltd., Singapore, pp. 393-399. ISBN 978-981-10-8787-5 (In Press) https://link.springer.com/chapter/10.1007/978-981-10-8788-2_35 10.1007/978-981-10-8788-2_35
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)
spellingShingle	Q Science (General) Taha, Zahari Mohd Razman, Mohd Azraai A. Adnan, Fatihah Abdul Majeed, Anwar P.P. Musa, Rabiu Muazu Abdul Ghani, Ahmad Shahrizan Sallehudin, Muhammad Firdaus Mukai, Yukinori The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
description	Fish Hunger behaviour is essential in determining the fish feeding routine, particularly for fish farmers. The inability to provide accurate feeding routines (under-feeding or over-feeding) may lead to the death of the fish and consequently inhibits the quantity of the fish produced. Moreover, the excessive food that is not consumed by the fish will be dissolved in the water and accordingly reduce the water quality through the reduction of oxygen quantity. This problem also leads to the death of the fish or even spur fish diseases. In the present study, a correlation of Barramundi fish-school behaviour with hunger condition through the hybrid data integration of image processing technique is established. The behaviour is clustered with respect to the position of the school size as well as the school density of the fish before feeding, during feeding and after feeding. The clustered fish behaviour is then classified through k-Nearest Neighbour (k-NN) learning algorithm. Three different variations of the algorithm namely, fine, medium and coarse are assessed on its ability to classify the aforementioned fish hunger behaviour. It was found from the study that the fine k-NN variation provides the best classification with an accuracy of 88%. Therefore, it could be concluded that the proposed integration technique may assist fish farmers in ascertaining fish feeding routine
format	Book Chapter
author	Taha, Zahari Mohd Razman, Mohd Azraai A. Adnan, Fatihah Abdul Majeed, Anwar P.P. Musa, Rabiu Muazu Abdul Ghani, Ahmad Shahrizan Sallehudin, Muhammad Firdaus Mukai, Yukinori
author_facet	Taha, Zahari Mohd Razman, Mohd Azraai A. Adnan, Fatihah Abdul Majeed, Anwar P.P. Musa, Rabiu Muazu Abdul Ghani, Ahmad Shahrizan Sallehudin, Muhammad Firdaus Mukai, Yukinori
author_sort	Taha, Zahari
title	The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
title_short	The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
title_full	The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
title_fullStr	The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
title_full_unstemmed	The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
title_sort	identification of hunger behaviour of lates calcarifer using k-nearest neighbour
publisher	Springer Nature Singapore Pte Ltd.
publishDate	2018
url	http://irep.iium.edu.my/65187/ http://irep.iium.edu.my/65187/ http://irep.iium.edu.my/65187/ http://irep.iium.edu.my/65187/2/65187_The%20identification%20of%20hunger%20behaviour%20of%20lates%20calcarifer%20_SCOPUS.pdf http://irep.iium.edu.my/65187/9/65187_The%20identification%20of%20hunger%20behaviour%20of%20lates%20calcarifer.pdf
first_indexed	2023-09-18T21:32:29Z
last_indexed	2023-09-18T21:32:29Z
_version_	1777412603351400448

The identification of hunger behaviour of lates calcarifer using k-nearest neighbour

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