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Updated: Jun 26, 2025

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Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion.

Xiaohong Peng1, Tianyu Zhou1, Ying Zhang1,2

  • 1Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
Summary
This summary is machine-generated.

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Accurate shrimp fry counting is crucial for aquaculture biomass estimation. A new SFCNet model significantly improves counting accuracy over traditional methods, offering a more efficient solution for shrimp farming management.

Area of Science:

  • Aquaculture technology
  • Computer vision
  • Biomass estimation

Background:

  • Shrimp fry counting is vital for aquaculture biomass estimation, impacting production assessment and management.
  • Manual counting methods are labor-intensive, inefficient, and prone to errors.
  • There is a need for automated, accurate shrimp fry counting techniques.

Purpose of the Study:

  • To develop an automated and accurate method for shrimp fry counting.
  • To introduce a novel deep learning model for shrimp fry enumeration.
  • To compare the proposed model's performance against existing methods.

Main Methods:

  • Collected and labeled images of shrimp fry in controlled breeding environments.
  • Generated density maps using a Gaussian kernel function.
Keywords:
SFCNetdeep learningmulti-scale attention fusionshrimp fry countingsmart aquaculture

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  • Proposed and implemented a multi-scale attention fusion-based shrimp fry counting network (SFCNet).

    • Main Results:

    • The SFCNet model achieved optimal performance in shrimp fry counting.
    • Mean Absolute Error (MAE) was 3.96, and Root Mean Square Error (RMSE) was 4.682.
    • The SFCNet model demonstrated superior accuracy compared to CNN-based baseline models.

    Conclusions:

    • The developed SFCNet provides an effective and accurate solution for shrimp fry counting.
    • This automated approach enhances efficiency and reliability in aquaculture management.
    • The study offers a significant advancement in shrimp fry enumeration technology.