Fish abundance estimation with imaging sonar in semi-intensive aquaculture ponds

dc.contributor.authorGutiérrez Estrada, Juan Carlos
dc.contributor.authorPulido Calvo, Inmaculada
dc.contributor.authorCastro Gutiérrez, Jairo
dc.contributor.authorPeregrín Rubio, Antonio
dc.contributor.authorLópez Domínguez, Samuel
dc.contributor.authorGómez Bravo, Fernando
dc.contributor.authorGarrocho Cruz, Alejandro
dc.contributor.authorRosa Lucas, Ignacio de la
dc.date.accessioned2022-10-10T09:12:35Z
dc.date.available2022-10-10T09:12:35Z
dc.date.issued2022-01-29
dc.description.abstractTo know the abundance of fishes and their size distribution in the semi-intensive rearing systems in traditional ponds is an aspect key to plan and manage efficiently the sales lots. Usually this information is obtained by means of sampling which mandatory supposes a direct catch and stressful and time consuming management of fishes. Therefore, in this work we propose the use of non-invasive procedures based on multibeam sonars or imaging sonars to count and size the fishes in the ponds. For that, we use a commercial technology portable-fixed multibeam imaging sonar and estimate the abundance in ponds of a gilt-head seabream (Sparus aurata) fishfarm from sonar image analysis and adapting statistical methodologies traditionally applied for bird abundance estimation. Additionally, a simulation software was developed to emulate the fish aggregation contained in the rearing ponds. This computer program allows the calculation of an abundance correction factor which depends on the transducer beam size in relation to the pond size. The results indicate that the estimation is as accurate as the obtained by the fishfarm manager using traditional sampling methods and additionally it is possible to obtain a realistic function of the size distribution which allows estimate the biomass by size contained in the rearing ponds.es_ES
dc.description.departmentCiencias Agroforestales
dc.description.sponsorshipThis work was supported by KTTSeaDrones project (0622_KTTSEADRONES_5_E), cofunded by the European Regional Development Fund, ERDF, through the Interreg V-A Spain-Portugal program (POCTEP) 2014–2020. We would like to express our gratitude to Rafael Rodríguez Sierra (Manager of ‘Salinas del Astur’) for his willingness to carry out all the experiments of the KTTSeaDrones project at the ‘Salinas del Astur’ facilities. Funding for open access charge: Universidad de Huelva/ CBUA.
dc.identifier.citationGutiérrez-Estrada, J. C., Pulido-Calvo, I., Castro-Gutiérrez, J., Peregrín, A., López-Domínguez, S., Gómez-Bravo, F., Garrocho-Cruz, A., & de la Rosa-Lucas, I. (2022). Fish abundance estimation with imaging sonar in semi-intensive aquaculture ponds. Aquacultural Engineering, 97, 102235. https://doi.org/10.1016/j.aquaeng.2022.102235 es_ES
dc.identifier.doi10.1016/j.aquaeng.2022.102235
dc.identifier.issn0144-8609
dc.identifier.urihttp://hdl.handle.net/10272/21236
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherSparus aurataes_ES
dc.subject.otherImproved extensive farminges_ES
dc.subject.otherCensus stationes_ES
dc.subject.otherMultibeam sonares_ES
dc.subject.otherImage analysises_ES
dc.subject.unesco31 Ciencias Agrariases_ES
dc.subject.unesco25 Ciencias de la Tierra y del Espacioes_ES
dc.titleFish abundance estimation with imaging sonar in semi-intensive aquaculture pondses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoR
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery096b88d6-402c-4230-a279-1cf51eee9c42

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