Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses

Detalhes bibliográficos
Autor(a) principal: Batista, Ana Catharina
Data de Publicação: 2021
Outros Autores: Santos, Virgínia, Afonso, João, Guedes, Cristina, Azevedo, Jorge, Teixeira, Alfredo, Silva, Severiano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/23247
Resumo: Research Areas: Agriculture ; Veterinary Sciences ; Zoology
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spelling Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcassesLight carcassCutVideo image analysisPredictionResearch Areas: Agriculture ; Veterinary Sciences ; ZoologyABSTRACT - Carcass dissection is a more accurate method for determining the composition of a carcass; however, it is expensive and time-consuming. Techniques like VIA are of great interest once they are objective and able to determine carcass contents accurately. This study aims to evaluate the accuracy of a flexible VIA system to determine the weight and yield of the commercial value of carcass cuts of light lamb. Photos from 55 lamb carcasses are taken and a total of 21 VIA measurements are assessed. The half-carcasses are divided into six primal cuts, grouped according to their commercial value: high-value (HVC), medium-value (MVC), low-value (LVC) and all of the cuts (AllC). K-folds cross-validation stepwise regression analyses are used to estimate the weights of the cuts in the groups and their lean meat yields. The models used to estimate the weight of AllC, HVC, MVC and LVC show similar results and a k-fold coefficient of determination (k-fold-R2) of 0.99 is achieved for the HVC and AllC predictions. The precision of the weight and yield of the three prediction models varies from low to moderate, with k-fold-R2 results between 0.186 and 0.530, p < 0.001. The prediction models used to estimate the total lean meat weight are similar and low, with k-fold-R2 results between 0.080 and 0.461, p < 0.001. The results confirm the ability of the VIA system to estimate the weights of parts and their yields. However, more research is needed on estimating lean meat yield.MDPIRepositório da Universidade de LisboaBatista, Ana CatharinaSantos, VirgíniaAfonso, JoãoGuedes, CristinaAzevedo, JorgeTeixeira, AlfredoSilva, Severiano2022-01-24T23:14:55Z2021-05-122021-05-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/23247engBatista AC, Santos V, Afonso J, Guedes C, Azevedo J, Teixeira A, Silva S. 2021. Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses. Animals. 11(5):1368. Doi: 10.3390/ ani110513682076-261510.3390/ani11051368info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:52:40Zoai:www.repository.utl.pt:10400.5/23247Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:07:27.490753Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
title Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
spellingShingle Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
Batista, Ana Catharina
Light carcass
Cut
Video image analysis
Prediction
title_short Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
title_full Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
title_fullStr Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
title_full_unstemmed Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
title_sort Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
author Batista, Ana Catharina
author_facet Batista, Ana Catharina
Santos, Virgínia
Afonso, João
Guedes, Cristina
Azevedo, Jorge
Teixeira, Alfredo
Silva, Severiano
author_role author
author2 Santos, Virgínia
Afonso, João
Guedes, Cristina
Azevedo, Jorge
Teixeira, Alfredo
Silva, Severiano
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Batista, Ana Catharina
Santos, Virgínia
Afonso, João
Guedes, Cristina
Azevedo, Jorge
Teixeira, Alfredo
Silva, Severiano
dc.subject.por.fl_str_mv Light carcass
Cut
Video image analysis
Prediction
topic Light carcass
Cut
Video image analysis
Prediction
description Research Areas: Agriculture ; Veterinary Sciences ; Zoology
publishDate 2021
dc.date.none.fl_str_mv 2021-05-12
2021-05-12T00:00:00Z
2022-01-24T23:14:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/23247
url http://hdl.handle.net/10400.5/23247
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Batista AC, Santos V, Afonso J, Guedes C, Azevedo J, Teixeira A, Silva S. 2021. Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses. Animals. 11(5):1368. Doi: 10.3390/ ani11051368
2076-2615
10.3390/ani11051368
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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