Method / resourcemodel-written summary

LLC achieved average accuracy of 96.83% for leaf lesion classification.

A claim from Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC) · 2015

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

LLC achieved average accuracy of 96.83% for leaf lesion classification.

Outcome
accuracye0
Value
96.83%e0

Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“Leaf Lesion Classification (LLC) algorithm based on Artificial Bee colony (ABC) produced an average 96.83% of accuracy”

✓ located verbatim in the source · abstract, characters 540–658

Title

Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC)

Faudziah Ahmad; Ku Ruhana Ku‐Mahamud; Mohd Shamrie Sainin; et al. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) 2015

Other claims from this paper (2)

Record rev-e0206e9c418fc7336abce68ae6768b6a1401e313dd8c91a6a38ed9334e82e78d · schema claims-v0.9 · position 1 in the model’s answer