Disease and Defect Detection System for Raspberries Based on Convolutional Neural Networks.
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| Title: | Disease and Defect Detection System for Raspberries Based on Convolutional Neural Networks. |
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| Authors: | Naranjo-Torres, José1, jnaranjo@ucm.cl, Mora, Marco1, mmora@ucm.cl, Fredes, Claudio2, cfredes@ucm.cl, Valenzuela, Andres3, avalen@ucm.cl |
| Source: | Applied Sciences (2076-3417); Dec2021, Vol. 11 Issue 24, p11868, 19p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 154316525 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=154316525 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app112411868 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 11868 Titles: – TitleFull: Disease and Defect Detection System for Raspberries Based on Convolutional Neural Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Naranjo-Torres, José – PersonEntity: Name: NameFull: Mora, Marco – PersonEntity: Name: NameFull: Fredes, Claudio – PersonEntity: Name: NameFull: Valenzuela, Andres IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 11 – Type: issue Value: 24 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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