AI-RCAS: A Real-Time Artificial Intelligence Analysis System for Sustainable Fisheries Management

Seung-Gyu Kim, Sang-Hyun Lee and Tae-Ho Im ()
Additional contact information
Seung-Gyu Kim: Department of Information and Communication Engineering, Hoseo University, 20, Hoseo-ro79beon-gil, Baebang-eup, Asan-si 31499, Republic of Korea
Sang-Hyun Lee: Department of Information and Communication Engineering, Hoseo University, 20, Hoseo-ro79beon-gil, Baebang-eup, Asan-si 31499, Republic of Korea
Tae-Ho Im: Department of Information and Communication Engineering, Hoseo University, 20, Hoseo-ro79beon-gil, Baebang-eup, Asan-si 31499, Republic of Korea

Sustainability, 2024, vol. 16, issue 18, 1-17

Abstract: This study proposes an Artificial Intelligence-based Real-time Catch Analysis System (AI-RCAS) for sustainable fisheries management. The AI-RCAS, implemented on a Jetson board, consists of fish recognition using YOLOv10, tracking with a ByteTrack algorithm optimized for marine environments, and a counting module. Experiments in actual fishing environments showed significant improvements, with species recognition rates of 74–81%. The system supports the efficient operation of the total allowable catch (TAC) system through real-time analysis, addressing the limitations of the existing Electronic Monitoring (EM) systems. However, challenges remain, including object-tracking difficulties and performance issues in unstable marine environments. Future research should focus on optimizing the fishing process, improving video processing, and expanding the dataset for better generalization.

Keywords: electronic monitoring; artificial intelligence; YOLOv10; ByteTrack; total allowable catch; sustainable fisheries (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/18/8178/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/18/8178/ (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:gam:jsusta:v:16:y:2024:i:18:p:8178-:d:1481288

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().