Method / resourcemodel-written summary

PCA on first-derivative spectra classified healthy pear leaves with 95.8% accuracy.

A claim from Early Detection of Fire Blight Disease of Pome Fruit Trees Using Visible-NIR Spectrometry and Dimensionality Reduction Methods\n\t\t\t\tدوره10 شماره1 سال1399

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

PCA on first-derivative spectra classified healthy pear leaves with 95.8% accuracy.

Taxon
pear treesPyrus communist0
Material
NDe0
Treatment
PCA on the 1st derivative spectrae0
Outcome
classification accuracye0
Value
95.8%e0

Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Pyrus communis
Pyrus communis · TaxonDidier Descouens · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the best classification accuracy obtained by using PCA on the 1st derivative spectra, with accuracy of 95.8%, 89.3%, and 91.6% for ND, NS, and SY samples, respectively”

✓ located verbatim in the source · abstract, characters 983–1150
t0

“FB of pear trees”

✓ located verbatim in the source · abstract, characters 281–297

Title

Early Detection of Fire Blight Disease of Pome Fruit Trees Using Visible-NIR Spectrometry and Dimensionality Reduction Methods\n\t\t\t\tدوره10 شماره1 سال1399

Bagheri, N; Mohamadi-Monavar, H LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) 1397 (?). doi:10.22067/jam.v10i1.71911

Other claims from this paper (2)

Record rev-b6f91e5920a806609a4ccf011d16d0abc4971fc853fb5971e37314954587c473 · schema claims-v0.9 · position 1 in the model’s answer