Claim · model-written summary
UAV hyperspectral images can monitor Fusarium head blight in winter wheat.
- Taxon
- wheat
Triticum aestivume0 - Outcome
- monitor Fusarium head blighte0
FusariumNot reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“hyperspectral images of UAVs can be used to monitor Fusarium head blight in winter 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 modified chlorophyll absorption reflectance index was the best feature, with AUC 1.0 and standard deviation 0.0.
- 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.