Monitoring and feeding integration of demand feeder systems

This chapter highlights the findings of the developmental monitoring systems for swimming pattern or motion analysis with regard to feeding behaviour. A benchmark for examining the framework on how scientists control fish in animal variable function factors was gathered and referred to gauge the ade...

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Main Authors: Mohd Razman, Mohd Azraai, Abdul Majeed, Anwar P.P., Musa, Rabiu Muazu, Taha, Zahari, Susto, Gian-Antonio, Mukai, Yukinori
Format: Book Chapter
Language:English
English
Published: Springer 2020
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Online Access:http://irep.iium.edu.my/82243/7/82243_Monitoring%20and%20feeding%20integration%20of%20demand.pdf
http://irep.iium.edu.my/82243/1/82243_Monitoring%20and%20feeding%20integration%20of%20demand%20feeder%20systems_scopus.pdf
http://irep.iium.edu.my/82243/
https://link.springer.com/chapter/10.1007%2F978-981-15-2237-6_2
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spelling my.iium.irep.822432020-10-16T07:58:50Z http://irep.iium.edu.my/82243/ Monitoring and feeding integration of demand feeder systems Mohd Razman, Mohd Azraai Abdul Majeed, Anwar P.P. Musa, Rabiu Muazu Taha, Zahari Susto, Gian-Antonio Mukai, Yukinori Q Science (General) SH Aquaculture. Fisheries. Angling SH151 Aquaculture - Fish Culture This chapter highlights the findings of the developmental monitoring systems for swimming pattern or motion analysis with regard to feeding behaviour. A benchmark for examining the framework on how scientists control fish in animal variable function factors was gathered and referred to gauge the adequate design in constructing a viable device. The validation of image processing and automated demand feeder to determine the results will also be considered, as a validation aspect between the system of tracking and the behaviour of the Lates calcarifer where the pixel intensity will be extracted as the features. The results of this chapter will enable the reader on the development of an integrated feeder scheme that consolidates surveillance scheme to identify the feeding behaviour and relation towards the specific growth rate (SGR). Springer 2020-01-03 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/82243/7/82243_Monitoring%20and%20feeding%20integration%20of%20demand.pdf application/pdf en http://irep.iium.edu.my/82243/1/82243_Monitoring%20and%20feeding%20integration%20of%20demand%20feeder%20systems_scopus.pdf Mohd Razman, Mohd Azraai and Abdul Majeed, Anwar P.P. and Musa, Rabiu Muazu and Taha, Zahari and Susto, Gian-Antonio and Mukai, Yukinori (2020) Monitoring and feeding integration of demand feeder systems. In: Machine learning in aquaculture: hunger classification of Lates calcarifer. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 11-24. ISBN 978-981-15-2236-9 https://link.springer.com/chapter/10.1007%2F978-981-15-2237-6_2 10.1007/978-981-15-2237-6_2
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic Q Science (General)
SH Aquaculture. Fisheries. Angling
SH151 Aquaculture - Fish Culture
spellingShingle Q Science (General)
SH Aquaculture. Fisheries. Angling
SH151 Aquaculture - Fish Culture
Mohd Razman, Mohd Azraai
Abdul Majeed, Anwar P.P.
Musa, Rabiu Muazu
Taha, Zahari
Susto, Gian-Antonio
Mukai, Yukinori
Monitoring and feeding integration of demand feeder systems
description This chapter highlights the findings of the developmental monitoring systems for swimming pattern or motion analysis with regard to feeding behaviour. A benchmark for examining the framework on how scientists control fish in animal variable function factors was gathered and referred to gauge the adequate design in constructing a viable device. The validation of image processing and automated demand feeder to determine the results will also be considered, as a validation aspect between the system of tracking and the behaviour of the Lates calcarifer where the pixel intensity will be extracted as the features. The results of this chapter will enable the reader on the development of an integrated feeder scheme that consolidates surveillance scheme to identify the feeding behaviour and relation towards the specific growth rate (SGR).
format Book Chapter
author Mohd Razman, Mohd Azraai
Abdul Majeed, Anwar P.P.
Musa, Rabiu Muazu
Taha, Zahari
Susto, Gian-Antonio
Mukai, Yukinori
author_facet Mohd Razman, Mohd Azraai
Abdul Majeed, Anwar P.P.
Musa, Rabiu Muazu
Taha, Zahari
Susto, Gian-Antonio
Mukai, Yukinori
author_sort Mohd Razman, Mohd Azraai
title Monitoring and feeding integration of demand feeder systems
title_short Monitoring and feeding integration of demand feeder systems
title_full Monitoring and feeding integration of demand feeder systems
title_fullStr Monitoring and feeding integration of demand feeder systems
title_full_unstemmed Monitoring and feeding integration of demand feeder systems
title_sort monitoring and feeding integration of demand feeder systems
publisher Springer
publishDate 2020
url http://irep.iium.edu.my/82243/7/82243_Monitoring%20and%20feeding%20integration%20of%20demand.pdf
http://irep.iium.edu.my/82243/1/82243_Monitoring%20and%20feeding%20integration%20of%20demand%20feeder%20systems_scopus.pdf
http://irep.iium.edu.my/82243/
https://link.springer.com/chapter/10.1007%2F978-981-15-2237-6_2
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score 13.160551