Claim · model-written summary
Hybrid soft voting achieved accuracy similar to the strongest individual transfer learning model on the cucumber disease dataset.
- Taxon
- Cucumber
Cucumis sativuse0
- Outcome
- accuracye1
- Comparator
- individual modele1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the Cucumber dataset with multiple diseases”
e1“Hybrid soft voting evaluated similar accuracy to an individual model that is strong accuracy transfer learning trained model, but inference time is much less than that of these strong models”
Title
Hybrid ensemble framework combining hard and soft voting of deep transfer learning models
Manisha Dumbre; Hiren Dand IET conference proceedings. 2026. doi:10.1049/icp.2025.4754