Publicação
Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
| Resumo: | 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 lt 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 lt 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. |
|---|---|
| Autores principais: | Batista, Ana Catharina |
| Outros Autores: | Santos, Virgínia; Afonso, João; Guedes, Cristina M.; Azevedo, Jorge; Teixeira, Alfredo; Silva, Severiano |
| Assunto: | Cut Light carcass Prediction Video image analysis |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173344183320576 |
|---|---|
| author | Batista, Ana Catharina |
| author2 | Santos, Virgínia Afonso, João Guedes, Cristina M. Azevedo, Jorge Teixeira, Alfredo Silva, Severiano |
| author2_role | author author author author author author |
| author_facet | Batista, Ana Catharina Santos, Virgínia Afonso, João Guedes, Cristina M. Azevedo, Jorge Teixeira, Alfredo Silva, Severiano |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Batista, Ana Catharina\"},{\"Person.name\":\"Santos, Virgínia\"},{\"Person.name\":\"Afonso, João\"},{\"Person.name\":\"Guedes, Cristina M.\"},{\"Person.name\":\"Azevedo, Jorge\"},{\"Person.name\":\"Teixeira, Alfredo\",\"Person.identifier.orcid\":\"0000-0003-4607-4796\"},{\"Person.name\":\"Silva, Severiano\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Batista, Ana Catharina Santos, Virgínia Afonso, João Guedes, Cristina M. Azevedo, Jorge Teixeira, Alfredo Silva, Severiano |
| datacite.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-01-19T10:00:00Z |
| datacite.date.embargoed.fl_str_mv | 2018-01-19T10:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Cut Light carcass Prediction Video image analysis |
| datacite.titles.title.fl_str_mv | Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Batista, Ana Catharina Santos, Virgínia Afonso, João Guedes, Cristina M. Azevedo, Jorge Teixeira, Alfredo Silva, Severiano |
| dc.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-01-19T10:00:00Z |
| dc.date.embargoed.fl_str_mv | 2018-01-19T10:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/24354 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Cut Light carcass Prediction Video image analysis |
| dc.title.fl_str_mv | Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | 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 lt 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 lt 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/59c8008b-1250-4e49-a45b-3f69f111f95c/download |
| id | ipb_eecf09040342ea6d9ce7ba461c594fba |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/24354 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/24354 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Batista, Ana Catharina Santos, Virgínia Afonso, João Guedes, Cristina M. Azevedo, Jorge Teixeira, Alfredo Teixeira, Alfredo https://www.ciencia-id.pt/2A1A-FF0C-185B 2A1A-FF0C-185B http://orcid.org/0000-0003-4607-4796 0000-0003-4607-4796 Silva, Severiano |
| publishDate | 2021 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engen_ENCarcass 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 lt 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 lt 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.application/pdfen_ENEvaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcassesBatista, Ana CatharinaSantos, VirgíniaAfonso, JoãoGuedes, Cristina M.Azevedo, JorgePersonalTeixeira, AlfredoDSpacehttp://dspace.org/items/27cc89a2-6661-4d8d-a727-21109c04a74eDSpacehttp://dspace.org/items/27cc89a2-6661-4d8d-a727-21109c04a74eTeixeiraAlfredoCiência IDhttps://www.ciencia-id.pt2A1A-FF0C-185BORCIDhttp://orcid.org0000-0003-4607-4796Researcher IDhttps://www.researcherid.comG-4118-2011Scopus Author IDhttps://www.scopus.com56195849200Silva, SeverianoHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.3390/ani110513682018-01-19T10:00:00Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/24354http://purl.org/coar/access_right/c_abf2open accessCutLight carcassPredictionVideo image analysis438288 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/59c8008b-1250-4e49-a45b-3f69f111f95c/download |
| spellingShingle | Evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses Batista, Ana Catharina Cut Light carcass Prediction Video image analysis |
| status | SINGLETON |
| subject.fl_str_mv | Cut Light carcass Prediction Video image analysis |
| title | 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_short | 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 |
| topic | Cut Light carcass Prediction Video image analysis |
| topic_facet | Cut Light carcass Prediction Video image analysis |
| url | http://hdl.handle.net/10198/24354 |
| visible | 1 |