Research on Measuring the Bodies of Underwater Fish with Inclined Positions Using the YOLOv8 Model and a Line-Laser System
In: Fishes, Jg. 9 (2024-06-01), Heft 6, S. 206-206
Online
academicJournal
Zugriff:
Fish body measurement is essential for monitoring fish farming and evaluating growth. Non-destructive underwater measurements play a significant role in aquaculture management. This study involved annotating images of fish in aquaculture settings and utilized a line laser for underwater distance calibration and fish body inclined-angle calculation. The YOLOv8 model was employed for fish identification and key-point detection, enabling the determination of actual body dimensions through a mathematical model. The results show a root-mean-square error of 6.8 pixels for underwater distance calibration using the line laser. The pre-training YOLOv8-n, with its lower parameter counts and higher MAP values, proved more effective for fish identification and key-point detection, considering speed and accuracy. Average body length measurements within 1.5 m of the camera showed a minor deviation of 2.46% compared to manual measurements. The average relative errors for body length and width were 2.46% and 5.11%, respectively, with corresponding average absolute errors. This study introduces innovative techniques for fish body measurement in aquaculture, promoting the digitization and informatization of aquaculture processes.
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Research on Measuring the Bodies of Underwater Fish with Inclined Positions Using the YOLOv8 Model and a Line-Laser System
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Autor/in / Beteiligte Person: | Li, Jiakang ; Zhang, Shengmao ; Li, Penglong ; Dai, Yang ; Wu, Zuli |
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Zeitschrift: | Fishes, Jg. 9 (2024-06-01), Heft 6, S. 206-206 |
Veröffentlichung: | MDPI AG, 2024 |
Medientyp: | academicJournal |
ISSN: | 2410-3888 (print) |
DOI: | 10.3390/fishes9060206 |
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