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This Author published in this journals
All Journal Teknofisika Indonesian Journal of Artificial Intelligence and Data Mining Communications in Science and Technology Journal of Robotics and Control (JRC) Indonesian Journal of Teaching in Science
Dwi Joko Suroso
King Mongkut’s Institute of Technology Ladkrabang
Aerospace Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Fish Detection and Classification using YOLOv8 for Automated Sorting Systems Kuswantori, Ari; Suroso, Dwi Joko
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.30967

Abstract

Automation plays a crucial role in scaling up freshwater fish cultivation to address the future threat of food scarcity and meet growing nutrition needs. The fish industry, in particular, develops automation in the sorting and selection processes. However, research on this technology's development is still very limited. In this work, we propose an approach for detecting and classifying fish running on conveyors. We use YOLOv8, which is the most popular and newest deep learning model for object detection and classification. We conducted our test using the KMITLFish dataset, a moving conveyor belt recording that encompasses common cultivated freshwater fish in Thailand along with some endemic species. As a result, our proposed method was able to accurately detect and classify eight types of fish at a conveyor speed of 505.08 m/h. Moreover, we developed this work using a ready-to-use AI platform, intending to directly contribute to the advancement of automatic fish sorting system technology in the fish industry.
Co-Authors Gautam, Deepak Kuswantori, Ari Panarat Cherntanomwong Sunarno Sunarno Sunarno Sunarno Tamaulina Br Sembiring Thoriq Tri Prabowo