Claim · model-written summary
The best model estimated infected spikelet number with MAE 1.56.
- Taxon
- wheat
Triticum aestivumt0 - Outcome
- infected number of spikeletse0
- Value
- 1.56e0
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 estimation of total and infected number of spikelets achieved mean absolute errors (MAEs) of 1.13 and 1.56, respectively”
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 FHB severity with MAE 8.6.
- Association Visual and CNN predicted FHB severity were significantly correlated.