Claim · model-written summary
The modified chlorophyll absorption reflectance index was the best feature, with AUC 1.0 and standard deviation 0.0.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- area under the curve and standard deviatione0
- Direction
- beste0
- Value
- 1.0 and 0.0e0
- Comparator
- all featurese0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The modified chlorophyll absorption reflectance index performed best among all features, with an area under the curve and standard deviation of 1.0 and 0.0, respectively”
t0“Wheat”
Title
Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery
Linyi Liu; Yingying Dong; Wenjiang Huang; et al. Remote Sensing 2020. doi:10.3390/rs12223811
Other claims from this paper (4)
- Method / resource Red bands distinguished slight from severe Fusarium head blight infection in wheat canopies.
- Method / resource The developed monitoring model had the highest overall accuracy, 98%, among the compared methods.
- Method / resource The improved BP neural network had the smallest difference between producer and user accuracy, indicating better stability.
- Method / resource UAV hyperspectral images can monitor Fusarium head blight in winter wheat.