Evaluation of Feature Selection and Regression Models to Predict Biomass of Sweet Basil by Using Drone and Satellite Imagery.
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| Title: | Evaluation of Feature Selection and Regression Models to Predict Biomass of Sweet Basil by Using Drone and Satellite Imagery. |
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| Authors: | Centorame, Luana1, La Porta, Nicolò2,3, Papandrea, Michela2,3, Mancini, Adriano4, Foppa Pedretti, Ester1 |
| Source: | Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6227, 19p |
| 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: 185868912 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=185868912 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15116227 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 6227 Titles: – TitleFull: Evaluation of Feature Selection and Regression Models to Predict Biomass of Sweet Basil by Using Drone and Satellite Imagery. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Centorame, Luana – PersonEntity: Name: NameFull: La Porta, Nicolò – PersonEntity: Name: NameFull: Papandrea, Michela – PersonEntity: Name: NameFull: Mancini, Adriano – PersonEntity: Name: NameFull: Foppa Pedretti, Ester IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 11 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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