Detection of Cucumber Fruit on Plant in a Greenhouse Environment Using the YOLOv8 Object Detection Algorithm.
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| Title: | Detection of Cucumber Fruit on Plant in a Greenhouse Environment Using the YOLOv8 Object Detection Algorithm. |
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| Authors: | Soleimanipour, A.1 (AUTHOR) asoleimani@gau.ac.ir |
| Source: | Journal of Agricultural Machinery. Summer2026, Vol. 16 Issue 2, p303-316. 14p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194580020 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=asn&AN=194580020 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.22067/jam.2025.92068.1339 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 303 Titles: – TitleFull: Detection of Cucumber Fruit on Plant in a Greenhouse Environment Using the YOLOv8 Object Detection Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Soleimanipour, A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Summer2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22286829 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: Journal of Agricultural Machinery Type: main |
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