Prediction of carcass tissues and primal cuts of goat kids through machine learning based on carcass image analysis.
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| Title: | Prediction of carcass tissues and primal cuts of goat kids through machine learning based on carcass image analysis. |
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| Authors: | Monteiro, António1,2 (AUTHOR) amonteiro@esav.ipv.pt, Silva, Severiano3 (AUTHOR) |
| Source: | Discover Agriculture. 10/14/2025, Vol. 3 Issue 1, p1-10. 10p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 188684276 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of carcass tissues and primal cuts of goat kids through machine learning based on carcass image analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Monteiro%2C+António%22">Monteiro, António</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> amonteiro@esav.ipv.pt</i><br /><searchLink fieldCode="AR" term="%22Silva%2C+Severiano%22">Silva, Severiano</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Discover+Agriculture%22">Discover Agriculture</searchLink>. 10/14/2025, Vol. 3 Issue 1, p1-10. 10p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188684276 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s44279-025-00346-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Prediction of carcass tissues and primal cuts of goat kids through machine learning based on carcass image analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Monteiro, António – PersonEntity: Name: NameFull: Silva, Severiano IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 10 Text: 10/14/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 27319598 Numbering: – Type: volume Value: 3 – Type: issue Value: 1 Titles: – TitleFull: Discover Agriculture Type: main |
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