A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds.
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| Title: | A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds. |
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| Authors: | James C; School of Agriculture and Food Sustainability, The University of Queensland, Brisbane, Australia., Chandra SS; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia., Chapman SC; School of Agriculture and Food Sustainability, The University of Queensland, Brisbane, Australia. |
| Source: | Plant phenomics (Washington, D.C.) [Plant Phenomics] 2025 May 19; Vol. 7 (2), pp. 100050. Date of Electronic Publication: 2025 May 19 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Science Partner Journals Country of Publication: United States NLM ID: 101769942 Publication Model: eCollection Cited Medium: Internet ISSN: 2643-6515 (Electronic) Linking ISSN: 26436515 NLM ISO Abbreviation: Plant Phenomics Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41415167 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22James+C%22">James C</searchLink>; School of Agriculture and Food Sustainability, The University of Queensland, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Chandra+SS%22">Chandra SS</searchLink>; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Chapman+SC%22">Chapman SC</searchLink>; School of Agriculture and Food Sustainability, The University of Queensland, Brisbane, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101769942%22">Plant phenomics (Washington, D.C.)</searchLink> [Plant Phenomics] 2025 May 19; Vol. 7 (2), pp. 100050. <i>Date of Electronic Publication: </i>2025 May 19 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Science+Partner+Journals%22">Science Partner Journals </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101769942 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2643-6515 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226436515%22">26436515 </searchLink><i>NLM ISO Abbreviation: </i>Plant Phenomics <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41415167 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.plaphe.2025.100050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100050 Titles: – TitleFull: A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: James C – PersonEntity: Name: NameFull: Chandra SS – PersonEntity: Name: NameFull: Chapman SC IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 05 Text: 2025 May 19 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2643-6515 Numbering: – Type: volume Value: 7 – Type: issue Value: 2 Titles: – TitleFull: Plant phenomics (Washington, D.C.) Type: main |
| ResultId | 1 |
