Claim · model-written summary
Support vector regression is generally suitable for deriving continuous wheat disease severity values, but uncertainty in the reference severity data is the crucial point.
- Taxon
- wheat
Triticum aestivume2 - Outcome
- suitable for the derivation of continual disease severity valuese5
- Qualifier
- the crucial point is the uncertainty in the reference severity datae5
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e2“to derive the disease severity caused by leaf rust (Puccinina recondita) in wheat”
e5“The results show that the SVR is generally suitable for the derivation of continual disease severity values, but the crucial point is the uncertainty in the reference severity data, which is used to train the regression”
Title
Derivation of stress severities in wheat from hyperspectral data using support vector regression
T Mewes; B Waske; J Franke; et al. 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing 2010. doi:10.1109/whispers.2010.5594921