Monitoring and feeding integration of demand feeder systems

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

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Abstract

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).

Item Type:	Book Chapter
Additional Information:	6616/82243
Uncontrolled Keywords:	Automated demand feeder, Image processing, Lates calcarifer, Pixel intensity, Specific growth rate
Subjects:	Q Science > Q Science (General) S Agriculture > SH Aquaculture. Fisheries. Angling S Agriculture > SH Aquaculture. Fisheries. Angling > SH151 Aquaculture - Fish Culture
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Science Kulliyyah of Science > Department of Marine Science
Depositing User:	Dr. Yukinori Mukai
Date Deposited:	16 Oct 2020 15:58
Last Modified:	16 Oct 2020 15:58
URI:	http://irep.iium.edu.my/id/eprint/82243

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