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Related Experiment Video

Updated: Aug 5, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

Bass detection model based on improved YOLOv5 in circulating water system.

Longqin Xu^1,2,3,4, Hao Deng^1,2,3,4, Yingying Cao⁵

¹College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.

|March 27, 2023

Summary

Accurate bass counting in aquaculture is crucial for efficient feeding and farm profitability. This study introduces an improved YOLOV5 model for precise bass detection, enhancing economic benefits.

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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Area of Science:

Aquaculture technology
Computer vision
Machine learning

Background:

Accurate bass counting is vital for optimizing feeding strategies and economic returns in bass farming.
Challenges in bass detection include multiple targets and target occlusion in circulating water systems.

Purpose of the Study:

To develop an improved YOLOV5-based target detection model for accurate bass counting in circulating water systems.
To address issues of missed and false detections in bass population monitoring.

Main Methods:

Utilized HD cameras for data acquisition and Mosaic-8 data augmentation to enhance model generalization.
Applied K-means clustering for optimal prior box generation and introduced Coordinate Attention (CA) mechanism for improved feature extraction.
Implemented Soft-Non-Maximum Suppression (Soft-NMS) to refine prediction boxes and handle overlapping targets.

Main Results:

The proposed model achieved a detection accuracy of 98.09%.
The detection speed reached 13.4 milliseconds, demonstrating real-time processing capabilities.
Effectively resolved issues of missed and false detections in bass target identification.

Conclusions:

The improved YOLOV5 model offers a highly accurate and efficient solution for bass counting in circulating water systems.
This technology supports precise feeding management and water conservation, enhancing the overall economic viability of bass farms.