Biometric properties of the European hake, Merluccius merluccius (Osteichthyes: Merlucciidae), from the central Adriatic sea

The dynamics of fish length distribution is a key input for understanding the fish population dynamics and taking informed management decisions on exploited stocks. Nevertheless, in most fisheries, the length of landed fish is still made by hand. As a result, length estimation is precise at fish level, but due to the inherent high costs of manual sampling, the sample size tends to be small. Accordingly, the precision of population-level estimates is often suboptimal and prone to bias when properly stratified sampling programmes are not affordable. Recent applications of artificial intelligence to fisheries science are opening a promising opportunity for the massive sampling of fish catches. Here, we present the results obtained using a deep convolutional network (Mask R-CNN) for unsupervised (i.e. fully automatic) European hake length estimation from images of fish boxes automatically collected at the auction centre. The estimated mean of fish lengths at the box level is accurate; for average lengths ranging 20–40 cm, the root-mean-square deviation was 1.9 cm, and maximum deviation between the estimated and the measured mean body length was 4.0 cm. We discuss the challenges and opportunities that arise with the use of this technology to improve data acquisition in fisheries.

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Image-based, unsupervised estimation of fish size from commercial landings using deep learning

Álvarez-Ellacuría

Palmer

Catalán

et al. 2019

ICES Journal of Marine Science

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Some Morphometric Relationships of Wels catfish (Silurus glanis L., 1758) Inhabiting Sıddıklı Dam (Kırşehir, Turkey)

Yazici

Yazıcıoğlu

2020

Journal of Anatolian Environmental and Animal Sciences

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This study aims to investigate the relationships among morphometric characters of Wels catfish with total length and find the best model to assess relationships. A total of 198 fish samples was caught in Sıddıklı Dam Lake between September 2015 and August 2016 in this study. The morphometric measures taken were: Total length (TL), Anal fin length (AFL), pectoral fin rays length (PFRL), body height (BH), head length (HL), and head height (HH). No significant differences were noted between the pectoral fin rays (PFRL) of females and males, while the significant differences were observed in the other morphometric measurements (TL, AFL, BH, HL, and HH) of females and males. The linear and non-linear model were used to determine relationships between morphometric characters and total length. The linear model is the best fit for all relationships, so this model is preferred for all calculates. All relationships were highly significant (P < 0.001, r 2 > 0.81) and the mean percent prediction errors were less than 10%. We found that AFL, PFRL, BH, HL, and HH are a good indicator for fish total length and are important for determining the length of Wels catfish. However, the best model was the relationship between anal fin length and total length for estimation of fish length in males and females. The data of the study provides novel information on relationships between morphometric characters for Wels catfish.

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Morphometric Relationships of Nemipterus randalli (Russell, 1986) from İskenderun Bay

Yazici

Yazıcıoğlu

Akkan

2020

Journal of Anatolian Environmental and Animal Sciences

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In this study was aimed to describe the relationships between morphometric characters and total length of Nemipterus randalli. A total of 107 samples were collected from Iskenderun Bay in November 2018. The results show that estimates of total length of this species through morphometric character are reliable. Linear regressions showed the best accuracy for all relationships between morphometric characters and total length. Among obtained relationships, the best fit was recorded between total length and head length, while the lowest value of coefficient of determination was also determined between total length and horizontal mouth gape. Establishing morphometric relationships can provide an alternative to back-calculation of fish length and can provide information that aids in understanding complex relationships between predator and prey size. The equations generated to obtain the total length of the fish using morphometric character data can be used in dietary studies of top predators and paleontological studies.

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Biometric properties of the European hake, Merluccius merluccius (Osteichthyes: Merlucciidae), from the central Adriatic sea

Cited by 3 publications

References 2 publications

Image-based, unsupervised estimation of fish size from commercial landings using deep learning

Image-based, unsupervised estimation of fish size from commercial landings using deep learning

Some Morphometric Relationships of Wels catfish (Silurus glanis L., 1758) Inhabiting Sıddıklı Dam (Kırşehir, Turkey)

Morphometric Relationships of Nemipterus randalli (Russell, 1986) from İskenderun Bay

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