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 oleracea
Brassica oleraceae0
- Treatment
- Artificial inoculation using H. brassicae sporangia suspensione2
- Interactor
- Hyaloperonospora brassicae
Hyaloperonospora 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.

Verbatim
e0“Downy mildew caused by Hyaloperonospora brassicae is a severe disease in Brassica oleracea”
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”
e2“Artificial inoculation using H. brassicae sporangia suspension was conducted to induce different levels of downy mildew disease”
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)
- Method / resource A support vector machine using the proposed downy mildew index classified healthy leaves from early infection (DM1) with 71.3% accuracy.
- Method / resource A support vector machine using the proposed downy mildew index classified healthy leaves from severe infection (DM3) with 85.3% accuracy.
- Recommendation The proposed downy mildew index may enable an automated monitoring system and resistance profiling in Brassica breeding lines.