Claim · model-written summary
The best model estimated FHB severity with MAE 8.6.
- Taxon
- wheat
Triticum aestivumt0 - Outcome
- FHB severity estimatione0
- Value
- 8.6 MAEe0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Our best 3D CNN models for FHB severity estimation achieved 8.6 MAE”
t0“wheat”
Title
Oumaima Hamila; Christopher J. Henry; Oscar I. Molina; et al. Canadian Journal of Plant Science 2024. doi:10.1139/cjps-2023-0127
Other claims from this paper (5)
- Method / resource The 3D CNN models detected FHB with 100% accuracy.
- Method / resource RGB channels dominated NIR and combined NIR plus RGB channels in model performance.
- Method / resource The best model estimated total spikelet number with MAE 1.13.
- Method / resource The best model estimated infected spikelet number with MAE 1.56.
- Association Visual and CNN predicted FHB severity were significantly correlated.