Volume 20 Issue 5
Oct.  2024
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HU Jiazhen, SUN Jialong, HUANG Xiaohua, ZHU Guohao, TAO Qiyou, YUAN Taiping, LI Gen, PANG Guoliang, HU Yu, LI Mingyang. A method for estimating quantity of Trachinotus ovatus in marine cage aquaculture based on high-frequency horizontal mechanical scanning sonar image[J]. South China Fisheries Science, 2024, 20(5): 113-125. DOI: 10.12131/20240042
Citation: HU Jiazhen, SUN Jialong, HUANG Xiaohua, ZHU Guohao, TAO Qiyou, YUAN Taiping, LI Gen, PANG Guoliang, HU Yu, LI Mingyang. A method for estimating quantity of Trachinotus ovatus in marine cage aquaculture based on high-frequency horizontal mechanical scanning sonar image[J]. South China Fisheries Science, 2024, 20(5): 113-125. DOI: 10.12131/20240042
shu

A method for estimating quantity of Trachinotus ovatus in marine cage aquaculture based on high-frequency horizontal mechanical scanning sonar image

  • 1.

    Jiangsu Ocean University, Lianyungang 222005, China

  • 2.

    South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China

  • 3.

    Jiangsu Marine Resources Development Research Institute, Lianyungang 222005, China

  • 4.

    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China

  • 5.

    Tropical Fisheries Research and Development Center, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Sanya 572018, China

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  • Received Date: March 05, 2024
  • Revised Date: June 10, 2024
  • Accepted Date: June 23, 2024
  • Available Online: June 25, 2024
    Graphical Abstract
    • Abstract

  • To estimate the quantity of Trachinotus ovatus in marine cages accurately, a method for estimating the quantity of fish is proposed by using high-frequency horizontal mechanical scanning sonar and deep learning technology. Differentiating water layers and clustering layer by layer to realize counting is the main way of this method, which mainly involves three parts: fish identification, fish cluster and fish quantity fitting. Firstly, high-frequency horizontal mechanical scanning sonar is used to conduct spiral detection on marine cages to obtain fish image information, which is labeled to build training data set of improved CS-YOLOv8s. After training, the CS-YOLOv8s model is used to recognize fish location information in the images. Secondly, the cages are divided into water layers with a water depth spacing of 40 cm, and the identification coordinate data of each water layer are clustered through DBSCAN method to generate fish quantity data of each water layer. Finally, the quantity data of each water layer is fitted with the given quantity of fish in the cage, and the fitting model of fish quantity is established. The results show that in the quantitative experiment of marine cages, the accuracy of this method is 87.14%, and it can achieve a good estimation of the quantity of T. ovatus.

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