A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease.
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| Title: | A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease. |
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| Authors: | Thangaraj, Rajasekaran1, rajasekaran30@gmail.com, Pandiyan, P.2, Anandamurugan, S.3, Rajendar, Sivaramakrishnan4 |
| Source: | Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 7, p18803-18827, 25p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 175460110 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=175460110 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-16347-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 18803 Titles: – TitleFull: A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thangaraj, Rajasekaran – PersonEntity: Name: NameFull: Pandiyan, P. – PersonEntity: Name: NameFull: Anandamurugan, S. – PersonEntity: Name: NameFull: Rajendar, Sivaramakrishnan IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 02 Text: Feb2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 7 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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