Efficient Olive Leaf Disease Detection Using Composite Feature Selection and Ensemble Learning.

Saved in:
Bibliographic Details
Title: Efficient Olive Leaf Disease Detection Using Composite Feature Selection and Ensemble Learning.
Authors: Gunduz, Hakan1 (AUTHOR)
Source: Agronomy. Jun2026, Vol. 16 Issue 11, p1057. 21p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194780793
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Efficient Olive Leaf Disease Detection Using Composite Feature Selection and Ensemble Learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gunduz%2C+Hakan%22">Gunduz, Hakan</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Agronomy%22">Agronomy</searchLink>. Jun2026, Vol. 16 Issue 11, p1057. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194780793
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/agronomy16111057
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1057
    Titles:
      – TitleFull: Efficient Olive Leaf Disease Detection Using Composite Feature Selection and Ensemble Learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gunduz, Hakan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20734395
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Agronomy
              Type: main
ResultId 1