IIUM Repository

Concluding remarks

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) Concluding remarks. In: Machine Learning in Aquaculture. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 59-60. ISBN 978-981-15-2236-9

[img] PDF (Chapter 6) - Published Version
Restricted to Registered users only

Download (468kB) | Request a copy
PDF (SCOPUS) - Supplemental Material
Download (273kB) | Preview


The established automatic request feeder was able to understand the objective of this study through which to collect meaningful data without neglecting any vital information, including the feeding time, the feeder cause between the hungry and the happy, and the most relevant, extracting the notable features of the fish movement behaviours across the test. The contribution and future work shall be drawn up in conjunction with the goals reached in this report.

Item Type: Book Chapter
Additional Information: 6616/82242
Uncontrolled Keywords: Automated demand feeder, Classification, Contributions, Fish hunger behaviour, Future work
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: 21 Sep 2020 16:11
Last Modified: 21 Sep 2020 16:11
URI: http://irep.iium.edu.my/id/eprint/82242

Actions (login required)

View Item View Item


Downloads per month over past year