Method / resourcemodel-written summary

A support vector machine using the proposed downy mildew index classified healthy leaves from progressed infection (DM2) with 80.7% accuracy.

A claim from Investigation of Using Hyperspectral Vegetation Indices to Assess Brassica Downy Mildew · 2024

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

A support vector machine using the proposed downy mildew index classified healthy leaves from progressed infection (DM2) with 80.7% accuracy.

Taxon
Brassica oleraceaBrassica oleraceae0
Treatment
Artificial inoculation using H. brassicae sporangia suspensione2
Interactor
Hyaloperonospora brassicaeHyaloperonospora brassicaee0pathogen
Outcome
accuraciese1
Value
80.7%e1
Qualifier
DM2 (progressed infection)e1
Comparator
healthy leavese1

Not reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleSettingDirection

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

Brassica oleracea
Brassica oleracea · TaxonDaderot · Public domain · Wikimedia Commons ↗
Hyaloperonospora brassicae
Hyaloperonospora brassicae · InteractorMichal Maňas · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“Downy mildew caused by Hyaloperonospora brassicae is a severe disease in Brassica oleracea”

✓ located verbatim in the source · abstract, characters 0–90
e1

“The results showed that the classification using a support vector machine achieved accuracies of 71.3%, 80.7%, and 85.3% for distinguishing healthy leaves from DM1 (early infection), DM2 (progressed infection), and DM3 (severe infection) leaves using the proposed downy mildew index”

✓ located verbatim in the source · abstract, characters 937–1219
e2

“Artificial inoculation using H. brassicae sporangia suspension was conducted to induce different levels of downy mildew disease”

✓ located verbatim in the source · abstract, characters 312–439

Title

Investigation of Using Hyperspectral Vegetation Indices to Assess Brassica Downy Mildew

Bo Liu; Marco Antonio Fernandez; Taryn Michelle Liu; et al. Sensors 2024. doi:10.3390/s24061916

Other claims from this paper (3)

Record rev-710b84013a2d093b4bf1db3d247555b59302885eb8a5d976f3fc6187903fe856 · schema claims-v0.9 · position 2 in the model’s answer