Bangus (Chanos Chanos) Fry Counter

Author:

Amar John C.ORCID, ,Frencillo Glenn J.,

Abstract

Agriculture has a key role in the Philippines economy, particularly the fisheries industry, which contributes 15% of the country’s overall income. The sector offers significant employment and income for various parts of population, contributes to export earnings, and meets a large portion of the population’s nutritional protein requirements. In terms of employment, the fisheries sector employs over one million people, or about 5% of the nation. The general objective of the study is to develop a portable bangus fry counter for the University of Antique – Hamtic Campus, Hamtic, Antique, and an affordable fry counter for the local fish fry vendor, fish pond owner and others that can benefit in this thesis. The researchers used the Arduino for the operating system and the light censor for the input and the LCD for the output. For the data gathering, the researchers used the ISO 25010 characteristic, the weighted mean formula to solve the mean and the Likert scale. The prototype showed excellent performance in terms of counting the bangus fry quantities. Based on the results of the evaluation, the participants strongly agreed with the functionality, reliability, portability, maintainability, security, compatibility, performance efficiency and usability of the device.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Reference7 articles.

1. Bagasbas, J. (2020). Design and Development of an Automated Fry Counter, International Journal of Scientific and Engineering Research, Volume 11, Issue 2, https://www.ijser.org/researchpaper/Design-and-Developemnt-ofanAutomated -Fry-Counter-pdf.

2. PCAARRD Writer. (2021, May 19). Automatic Fry Counter, https://ispweb.pcaard.dost.gov.ph/automatic-fry-counter/

3. Daoliang Li, et. al, Journal of the World Aquaculture Society, Volume 52, Issue 2, April 2021

4. Abe, S., Takagi, T., Takehara, K., Kimura, N., Hiraishi, T., Komeyama, K., & Asaumi, S. (2017). How many fish in a tank? Constructing an automated fish counting system by using PTV analysis. In Selected Papers from the 31st International Congress on High-Speed Imaging and Photonics (Vol. 10328, p. 103281T). International Society for Optics and Photonics. https://doi.org/10.1117/12.2270627

5. Le, J. & Xu, L. (2016). An Automated Fish Counting Algorithm in Aquaculture Based on Image Processing, Advances in Engineering Research, Volume 113.

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