Method / resourcemodel-written summary

The orange grading method achieved 94.38% accuracy.

A claim from Automatic Classification and Detection of Oranges Based on Computer Vision · 2018

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The orange grading method achieved 94.38% accuracy.

Taxon
Orangest0
Outcome
grading accuracye0
Value
94.38%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“the grading accuracy of this grading method was 94.38%”

✓ located verbatim in the source · abstract, characters 581–635
t0

“Oranges”

✓ located verbatim in the source · title, characters 42–49

Title

Automatic Classification and Detection of Oranges Based on Computer Vision

Yuwei Chen; Jinghua Wu; Mengtian Cui 2018 IEEE 4th International Conference on Computer and Communications (ICCC) 2018. doi:10.1109/compcomm.2018.8780680

Other claims from this paper (2)

Record rev-4ef7a10da0a9c9e4d576d074bec8eee7254ab44b6843bed0d02e207fb35cdcb0 · schema claims-v0.9 · position 1 in the model’s answer