Maize Leaf Disease Detection using Manta-Ray Foraging Optimization with Deep Learning Model.
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| Title: | Maize Leaf Disease Detection using Manta-Ray Foraging Optimization with Deep Learning Model. |
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| Authors: | Vimalkumar, Shanmugam1, vimalcheyyar@gmail.com, Latha, Ramavel1, latharamavel@gmail.com |
| Source: | Engineering, Technology & Applied Science Research; Oct2024, Vol. 14 Issue 5, p17068-17074, 7p |
| 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: 180706879 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Maize Leaf Disease Detection using Manta-Ray Foraging Optimization with Deep Learning Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Vimalkumar%2C+Shanmugam%22">Vimalkumar, Shanmugam</searchLink><relatesTo>1</relatesTo>, <i>vimalcheyyar@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Latha%2C+Ramavel%22">Latha, Ramavel</searchLink><relatesTo>1</relatesTo>, <i>latharamavel@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Oct2024, Vol. 14 Issue 5, p17068-17074, 7p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180706879 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.7821 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 17068 Titles: – TitleFull: Maize Leaf Disease Detection using Manta-Ray Foraging Optimization with Deep Learning Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vimalkumar, Shanmugam – PersonEntity: Name: NameFull: Latha, Ramavel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 14 – Type: issue Value: 5 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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