Claim · model-written summary
Prediction of EWT from PRI had an RMSE of 0.002 (rP = 0.860).
- Taxon
- Soybean
Glycine maxt0 - Outcome
- EWTe0
- Value
- 0.002e0
- Qualifier
- rP = 0.860e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Soybean”
e0“RMSEs of 12.4% (rP = 0.786), 9.1% (rP = 0.736), and 0.002 (rP = 0.860) for RWC, FWCt, and EWT”
Title
Evaluation of Hyperspectral Reflectance Parameters to Assess the Leaf Water Content in Soybean
Marek Kovar; Marian Brestic; Oksana Sytar; et al. Water 2019. doi:10.3390/w11030443
Other claims from this paper (6)
- Intervention effect Leaf desiccation increased relative reflectance at wavelengths between 580 and 700 nm in soybean leaves.
- Association The highest positive correlation was between the photochemical reflectance index and EWT (rP = 0.860).
- Observation The water absorption band at 970 nm showed relatively weaker sensitivity to water content parameters.
- Method / resource Prediction of relative water content from PRI had an RMSE of 12.4% (rP = 0.786).
- Method / resource Prediction of FWCt from PRI had an RMSE of 9.1% (rP = 0.736).
- Association EWT has a statistically closer relationship with reflectance indices than the other monitored water parameters.