Automatic Classification of Morphologically Similar Fish Species Using Their Head Contours

Martí-Puig, Pere; Manjabacas, Amalia; Lombarte, Antoni

doi:10.3390/app10103408

Cited by 6 publications

(4 citation statements)

References 46 publications

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“…Perhaps employing automated and semi‐automated approaches to fish classification from images (e.g. Hernández‐Serna & Jiménez‐Segura, 2014; Lee et al, 2003; Marti‐Puig et al, 2020) may increase the chances of recognising unusual (i.e. difficult to classify) individuals by allowing the collection of larger sample sizes with the same effort.…”

Section: Approaches and Limitations In Detecting Hybridisation In Com...mentioning

confidence: 99%

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Hidden in the ocean: The importance of detecting hybridisation in pelagic and deep‐water fishes

Pecoraro,

Papetti,

Fruciano

2023

Fish and Fisheries

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The widespread occurrence of hybridisation in fishes suggests the need to revisit its importance for both a basic understanding of biological principles and practical applications for management and conservation. Despite evidence of its pervasiveness, the phenomenon of hybridisation in fish is not uniformly studied across species and environments. We note how natural hybridisation in pelagic and deep‐sea fish has been rarely reported. For this reason, we carry out an analysis using both standard and phylogenetic comparative methods. Our results suggest a lack of evidence for the idea that pelagic and deep‐sea fish are inherently less prone to hybridise. Likely, hybridisation and introgression are systematically underestimated in these groups. In light of this, we discuss why underestimation of hybridisation is problematic, and what may be done to ameliorate the situation. We propose scalable and cost‐effective prioritisation, sampling and analysis strategies, to ease existing biases in assessing the impact of hybridisation among pelagic and deep‐sea species and to ultimately improve the management and conservation – as well as basic biological knowledge – of these important species.

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Section: Approaches and Limitations In Detecting Hybridisation In Com...mentioning

confidence: 99%

“…-Serna & Jiménez-Segura, 2014;Lee et al, 2003;Marti- Puig et al, 2020) may increase the chances of recognising unusual (i.e. difficult to classify) individuals by allowing the collection of larger sample sizes with the same effort.…”

mentioning

confidence: 99%

Hidden in the ocean: The importance of detecting hybridisation in pelagic and deep‐water fishes

Pecoraro,

Papetti,

Fruciano

2023

Fish and Fisheries

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“…This Special Issue also includes two papers studying the application of machine learning to specific practical problems in different industries: the fishing and smart buildings industries. In [12], Marti-Puig et al (Spain) addressed the problem of distinguishing between different Mediterranean demersal species of fish that share a remarkably similar form and that are also used for the evaluation of marine resources. The authors employed both a binary and a multi-class classification problem based on very small datasets with unreliable labels.…”

Section: Applications To the Industrymentioning

confidence: 99%

Machine Learning Methods with Noisy, Incomplete or Small Datasets

Caiafa

Sun²,

Tanaka

et al. 2021

Applied Sciences

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In this article, we present a collection of fifteen novel contributions on machine learning methods with low-quality or imperfect datasets, which were accepted for publication in the special issue “Machine Learning Methods with Noisy, Incomplete or Small Datasets”, Applied Sciences (ISSN 2076-3417). These papers provide a variety of novel approaches to real-world machine learning problems where available datasets suffer from imperfections such as missing values, noise or artefacts. Contributions in applied sciences include medical applications, epidemic management tools, methodological work, and industrial applications, among others. We believe that this special issue will bring new ideas for solving this challenging problem, and will provide clear examples of application in real-world scenarios.

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“…Mullet is a species of fish that is found all over the world. It can be categorized into gray mullet ( Mugil japonicus ) and red mullet ( Mullus ) [ 1 , 2 ]. Mullets are commercially important, since they contribute to large estuarine and coastal fisheries in many countries, especially in the Mediterranean.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Effects of Salt and Salicornia herbacea L. on Physiochemical, Nutritional, and Quality Parameters for Extending the Shelf-Life of Semi-Dried Mullets (Chelon haematocheilus)

Chilakala

Kim

et al. 2022

Foods

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Mullet, a coastal fish species, is commonly used as a salted dried fish in many countries, including Korea, Japan, and the southeastern United States. The purpose of this investigation was to develop high-quality products of salted semi-dried mullet (SSDM) using natural salt and Salicornia herbacea L. (SAL). The antioxidant activity of SAL was investigated by in vitro studies. The physicochemical and nutritional characteristics of fresh mullet (FM), salted control (SSDM-CON), and SAL-treated (SSDM-SAL) mullet groups were analyzed. The moisture, ash, and crude protein contents were significantly increased in the SSDM-SAL group, whereas the salinity was decreased when compared with the SSDM-CON group. Lipid oxidation occurred in the FM and SSDM groups, as indicated by the increase in peroxide (PV), acid (AV), and thiobarbituric acid reactive substance (TBARS) values during the storage period. The protein pattern on the sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis showed similarities between the groups, while the amino acid and fatty acid contents also varied in the FM and SSDM groups depending on their processing methods. Initially, the total bacterial count was significantly higher in the SSDM groups than in the FM group. However, the SSDM-SAL group had a markedly lower total bacteria count than the FM and SSDM-CON groups during 21 days of refrigerated storage. This result indicates that SAL treatment can improve mullet’s safety from microorganisms, includes beneficial biochemical parameters, and can extend their shelf-life through refrigerated storage.

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Automatic Classification of Morphologically Similar Fish Species Using Their Head Contours

Cited by 6 publications

References 46 publications

Hidden in the ocean: The importance of detecting hybridisation in pelagic and deep‐water fishes

Hidden in the ocean: The importance of detecting hybridisation in pelagic and deep‐water fishes

Machine Learning Methods with Noisy, Incomplete or Small Datasets

Assessment of the Effects of Salt and Salicornia herbacea L. on Physiochemical, Nutritional, and Quality Parameters for Extending the Shelf-Life of Semi-Dried Mullets (Chelon haematocheilus)

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