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Detecting Leftover Food and the Shrimp for Estimating of the Shrimp Body Length Based on CNN

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Intelligent Systems and Networks (ICISN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 243))

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Abstract

Controlling the body length of the shrimp and estimating leftover food are the major indicators for feeding strategies in shrimp farms. Normally, the works are done by naked-eye observation and mostly counted on the experiences. Nevertheless, it could sometimes be subjective, especially with leftover food. The miscalculation could affect to the feeding plans of farmer, and hence, commercial losses in shrimp aquaculture. In this paper, a new approach to automatically calculate the shrimp body length and to estimate leftover food in pond is given by using a underwater cameras and a convolutional neural network (CNN) model. The proposed method obtained a mAP of 87.3% in the shrimp and leftover food detection and localization. In addition, just 7% of a MSE in the body length of shrimp is produced.

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Notes

  1. 1.

    http://seafood.vasep.com.vn.

  2. 2.

    http://www.kurento.org/.

  3. 3.

    https://github.com/tzutalin/labelImg.

  4. 4.

    https://github.com/AlexeyAB/darknet.

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Acknowledgments

The authors would like to thank Mr. Van Duong Nguyen, the owner of the shrimp farm in Nghi Son, Tinh Gia, Thanh Hoa who allowed us to implement our proposed system in his grow-out ponds. This work is supported by the Department of Science and Technology of Thanh Hoa.

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Authors and Affiliations

  1. Hong Duc University, Thanh Hoa, Vietnam

    Van Quy Hoang & Dinh Cong Nguyen

Authors
  1. Van Quy Hoang
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  2. Dinh Cong Nguyen
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Corresponding author

Correspondence to Dinh Cong Nguyen .

Editor information

Editors and Affiliations

  1. Phenikaa University, Hanoi, Vietnam

    Duc-Tan Tran

  2. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Hanoi University of Industry, Hanoi, Vietnam

    Thi Dieu Linh Nguyen

  4. University of Huddersfield, Huddersfield, UK

    Joan Lu

  5. University of Transport Technology, Hanoi, Vietnam

    Thu-Do Xuan

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hoang, V.Q., Nguyen, D.C. (2021). Detecting Leftover Food and the Shrimp for Estimating of the Shrimp Body Length Based on CNN. In: Tran, DT., Jeon, G., Nguyen, T.D.L., Lu, J., Xuan, TD. (eds) Intelligent Systems and Networks . ICISN 2021. Lecture Notes in Networks and Systems, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-2094-2_30

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