000161115 001__ 161115
000161115 005__ 20251017144643.0
000161115 0247_ $$2doi$$a10.1080/1828051X.2025.2508222
000161115 0248_ $$2sideral$$a144228
000161115 037__ $$aART-2025-144228
000161115 041__ $$aeng
000161115 100__ $$aSamperio, Enrique$$uUniversidad de Zaragoza
000161115 245__ $$aLive lamb classification method based on fat, sex, and weight using ultrasound images to optimise slaughter decision-making
000161115 260__ $$c2025
000161115 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161115 5203_ $$aThere are factors that affect the quality of the meat that we consume. Feeding, activity during growth, or even the stress suffered by the animal are examples of such factors that can affect the quality or even taste of the product. In the case of lamb, it has been observed that one of these factors is the amount of fat in the final product. The fat content of the meat affects the quality of the product both in terms of sale and consumption, and consequently the price of the product. Although ultrasound can estimate fat content in live animals, its routine commercial application for pre-slaughter classification remains limited due to cost, required expertise, and equipment availability. To solve this problem, this research article proposes a system to block the lamb in order to capture an image of the lamb’s fat using an ultrasound scanner. For this purpose, images of the fat in the lumbar region of 151 lambs have been analysed and compared with the actual measurement after slaughter. With the use of different image processing techniques it is possible to measure the fat of a live lamb and, in this way, to classify the lambs according to their level of fat into: Non-fat, Little covered, Covered, Fatty and Very fatty. This device is designed to be part of a lamb handling chute. Thus, in addition to sex and weight, a new classification variable is added to control meat quality and optimise the farmer profit without compromising animal welfare
000161115 536__ $$9info:eu-repo/grantAgreement/ES/DGA/GCP-2018-002100
000161115 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000161115 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161115 700__ $$0(orcid)0000-0002-7891-609X$$aRebollar, Rubén$$uUniversidad de Zaragoza
000161115 700__ $$0(orcid)0000-0003-2558-982X$$aLidón, Iván$$uUniversidad de Zaragoza
000161115 700__ $$aCastejón-Limas, Manuel
000161115 700__ $$aRiego del Castillo, Virginia
000161115 7102_ $$15002$$2720$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Proyectos de Ingeniería
000161115 773__ $$g24, 1 (2025), 1249-1262$$pItal. J. Anim. Sci.$$tItalian Journal of Animal Science$$x1594-4077
000161115 8564_ $$s1990484$$uhttps://zaguan.unizar.es/record/161115/files/texto_completo.pdf$$yVersión publicada
000161115 8564_ $$s1097267$$uhttps://zaguan.unizar.es/record/161115/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161115 909CO $$ooai:zaguan.unizar.es:161115$$particulos$$pdriver
000161115 951__ $$a2025-10-17-14:32:59
000161115 980__ $$aARTICLE