Time-series growth estimation of sea cucumbers (Apostichopus japonicus) in co-cultivation with coho salmon using time-lapse cameras in field experiments

IF 4.3 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Aquacultural Engineering Pub Date : 2025-03-07 DOI:10.1016/j.aquaeng.2025.102529
Takero Yoshida , Kasumi Kogo
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Abstract

As Integrated Multi-Trophic Aquaculture (IMTA) continues to gain attention, this study investigated the co-culture of coho salmon (Oncorhynchus kisutch) and juvenile Japanese sea cucumber (Apostichopus japonicus) in Kuji Bay, Iwate Prefecture, Japan. The sea cucumbers were housed separately in box cages below the coho salmon aquaculture cages, and the growth was monitored using an underwater time-lapse camera from December 2022 to May 2023. The time-lapse camera was used to monitor the small sea cucumbers with an average body weight of 1.2 g for the initial stage. Semantic segmentation using the Segment Anything Model (SAM) was then applied to the images to separate the sea cucumbers from the background. Body weights were converted from the area of the sea cucumbers in the images. The estimated body weights were plotted over time and compared with the measured body weights. From this, a time-lapse camera can be used to roughly estimate the growth of sea cucumbers over time, which will be helpful to understand the co-cultured sea cucumbers.
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用延时相机对与鲑鱼共养的海参生长进行时序估测
随着综合多营养水产养殖(IMTA)日益受到关注,本研究在日本岩手县久地湾对银鲑(Oncorhynchus kisutch)与日本海参幼鱼(Apostichopus japonicus)的共养殖进行了研究。在2022年12月至2023年5月期间,将海参分别饲养在coho salmon养殖网箱下方的箱型网箱中,使用水下延时摄像机监测海参的生长情况。采用延时摄像机对平均体重1.2 g的小海参进行初期监测。然后,利用分段任意模型(SAM)对图像进行语义分割,将海参与背景分离。体重由图像中海参的面积换算而成。估计的体重随时间变化而变化,并与测量的体重进行比较。由此,可以使用延时相机粗略估计海参随时间的生长情况,这将有助于了解共养海参。
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来源期刊
Aquacultural Engineering
Aquacultural Engineering 农林科学-农业工程
CiteScore
8.60
自引率
10.00%
发文量
63
审稿时长
>24 weeks
期刊介绍: Aquacultural Engineering is concerned with the design and development of effective aquacultural systems for marine and freshwater facilities. The journal aims to apply the knowledge gained from basic research which potentially can be translated into commercial operations. Problems of scale-up and application of research data involve many parameters, both physical and biological, making it difficult to anticipate the interaction between the unit processes and the cultured animals. Aquacultural Engineering aims to develop this bioengineering interface for aquaculture and welcomes contributions in the following areas: – Engineering and design of aquaculture facilities – Engineering-based research studies – Construction experience and techniques – In-service experience, commissioning, operation – Materials selection and their uses – Quantification of biological data and constraints
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