eprintid: 20423
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/04/23
datestamp: 2026-01-12 12:17:54
lastmod: 2026-01-12 12:17:54
status_changed: 2026-01-12 12:17:54
type: conference_item
metadata_visibility: show
creators_name: Cheng, Wai Khuen
creators_name: Ooi, Boonyaik Yaik
creators_name: Tan, Teik Boon
creators_name: Chong, Xiao Wei
creators_name: Ling, Tze Jun John
creators_name: Teoh, Chaiw Yee
creators_name: Ooi, Ailin
creators_name: Chen, Yen Lin
title: Computer Vision for Automated Prawn Cultivation: Density and Growth Estimation
ispublished: pub
keywords: Average cost; Density estimation; Growth estimation; Human errors; Labour-intensive; Manual measurements; Prawn cultivation; Precision aquaculture; Aquaculture
note: Cited by: 2
abstract: This study investigates the implementation of computer vision for automated prawn cultivation, focusing on density and growth estimation to contribute to aquaculture sustainability. Traditional methods of monitoring prawn density and growth involve manual measurements, which can be time-consuming, labor-intensive, and prone to human error. Addressing these challenges, the proposed system employs MobileNetV2 for prawn density estimation and achieves an accuracy of over 92. It successfully reduces the average cost and time required for farm monitoring at scale, making it a viable alternative to manual methodologies. © 2024 IEEE.
date: 2024
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205767548&doi=10.1109%2FICCE-Taiwan62264.2024.10674333&partnerID=40&md5=c30c101c24c08fb31f773f79d1870c54
id_number: 10.1109/ICCE-Taiwan62264.2024.10674333
full_text_status: none
pagerange: 237 - 238
refereed: TRUE
isbn: 9798350386844
citation:   Cheng, Wai Khuen and Ooi, Boonyaik Yaik and Tan, Teik Boon and Chong, Xiao Wei and Ling, Tze Jun John and Teoh, Chaiw Yee and Ooi, Ailin and Chen, Yen Lin  (2024) Computer Vision for Automated Prawn Cultivation: Density and Growth Estimation.  In: UNSPECIFIED.