DDEYOLOv9: Network for Detecting and Counting Abnormal Fish Behaviors in Complex Water Environments

DDEYOLOv9: Network for Detecting and Counting Abnormal Fish Behaviors in Complex Water Environments

Accurately detecting and counting abnormal fish behaviors in aquaculture is essential. Timely detection allows farmers to take swift action to protect fish health and prevent economic losses. This paper proposes an enhanced high-precision detection algorithm based on YOLOv9, named DDEYOLOv9, to faci...

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Bibliographic Details
Main Authors: Yinjia Li, Zeyuan Hu, Yixi Zhang, Jihang Liu, Wan Tu, Hong Yu
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Fishes
Subjects:
aquaculture
fish behavior
YOLOv9
fish target detection
abnormal behavior monitoring
Online Access:https://www.mdpi.com/2410-3888/9/6/242

Internet

https://www.mdpi.com/2410-3888/9/6/242

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