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dc.contributorEscuela de Ingenierias Industrial, Informática y Aeroespaciales_ES
dc.contributor.authorSamperio, Enrique
dc.contributor.authorLidón, Iván
dc.contributor.authorRebollar Rubio, Rubén
dc.contributor.authorCastejón Limas, Manuel 
dc.contributor.authorÁlvarez Aparicio, Claudia 
dc.contributor.otherProyectos de Ingenieriaes_ES
dc.date2021-05-23
dc.date.accessioned2024-02-08T08:00:25Z
dc.date.available2024-02-08T08:00:25Z
dc.identifier.citationSamperio, Lidón, Rebollar, Castejón-Limas, & Álvarez-Aparicio. (2021). Lambs’ live weight estimation using 3D images. Animal, 15(5). https://doi.org/10.1016/J.ANIMAL.2021.100212es_ES
dc.identifier.issn1751-7311
dc.identifier.urihttps://hdl.handle.net/10612/18153
dc.description.abstract[EN] The sheep sector has not suffered the technification that other livestock sectors have. The lack of technological knowledge of the farmers and the economic limitations of the sector have made this technification difficult. One of the most widely used technologies is Precision Livestock Farming (PLF). PLF has already been used in other livestock sectors to improve farming efficiency. In the light of the problem that sheep farmers have in weighing lambs and their low precision, this paper proposes a system for estimating weight by means of 3D image capture. Thus, zenithal images of 272 lambs have been recorded. They have been processed using the capture of the upper area and the average depth of the pixels of the lamb. This estimates the weight of the animal with an error of less than 6%. This technology has a low economic cost and is easy to operate, helping farmers to be more willing to use it. This method manages to reduce the duration of the process, the stress of the animal and to improve the overall accuracy in weight estimation. Thus, it will help to have a greater control of the weight of the animal and to improve the economic profitability that the farmer obtains for the lambses_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEconomíaes_ES
dc.subjectIngeniería de sistemases_ES
dc.subject.other3D sensores_ES
dc.subject.otherAnimal productiones_ES
dc.subject.otherAnimal welfarees_ES
dc.subject.otherMachine learninges_ES
dc.subject.otherSheep livestockes_ES
dc.titleLambs’ live weight estimation using 3D imageses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1016/j.animal.2021.100212
dc.description.peerreviewedSIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/GA/Programa de Desarrollo Rural de Aragon 2014-2020/GCP-2017002100/ESes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleAnimales_ES
dc.volume.number15es_ES
dc.issue.number5es_ES
dc.page.initial100212es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco3104.90 Sistemas de Producción Ganaderaes_ES
dc.subject.unesco3304 Tecnología de Los Ordenadoreses_ES
dc.subject.unesco3104.07 Ovinoses_ES
dc.description.projectGobierno de Aragónes_ES
dc.description.projectAsociación Nacional de Criadores de Ganado Ovino de Raza Rasa Aragonesaes_ES


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Atribución 4.0 Internacional
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