Determining Fish Hunger State in a Smart Fish Farm Using Digital Signal Processing of the Water Current

Frank Sunday Mbah and Ledisi Giok Kabari
Additional contact information
Frank Sunday Mbah: Ignatius Ajuru University of Education, Port Harcourt, Nigeria
Ledisi Giok Kabari: Ken Saro-Wiwa Polytechnic, Bori, Nigeria

International Journal of Research and Innovation in Applied Science, 2021, vol. 6, issue 8, 51-56

Abstract: The traditional method of feeding the fish in an aquarium leads to wastage of the feed and poor water quality as the water easily gets contaminated and consequently hampers fish growth. Also, the method of having a pre-set time has not much effect to the problem as it may lead to unequal feed distribution and starvation of the smaller fishes. A behavioural pattern whereby the fish can be fed anytime will balance feed intake by the fish and promote growth. It will also reduce wastage. The identified state where the fish are more settled at the water surface with much movement thereby increasing the water current is used in this work. A gyroscope is proposed for the measurement of angular displacement caused by the water current. Because of the non-availability of the gyroscope and other necessary conditions, a dataset was formulated and histogram function in Microsoft Excel used in plotting the signal state of the two conditions. The difference in the two signal levels guarantees the reliability of this process in determining when it is more appropriate to feed the fish using an automated method in a smart fishpond.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijrias/ ... -6-issue-8/51-56.pdf (application/pdf)
https://www.rsisinternational.org/virtual-library/ ... 051938702.1694191524 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:6:y:2021:i:8:p:51-56

Access Statistics for this article

International Journal of Research and Innovation in Applied Science is currently edited by Dr. Renu Malsaria

More articles in International Journal of Research and Innovation in Applied Science from International Journal of Research and Innovation in Applied Science (IJRIAS)
Bibliographic data for series maintained by Dr. Renu Malsaria ().