Claim · model-written summary
The tested protocol had the lowest RMSE, 0.21.
VitisNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the root mean square error was lowest of the methods tested here (RMSE = 0.21)”
t0“Grapevines”
Title
Indirect Estimation of Leaf Area Index in VSP-Trained Grapevines Using Plant Area Index
Johanna Döring; Manfred Stoll; Randolf Kauer; et al. American Journal of Enology and Viticulture 2013. doi:10.5344/ajev.2013.13073
Other claims from this paper (6)
- Method / resource The sensor-facing-canopy protocol gave accurate LAI estimates.
- Method / resource Direct LAI and estimated PAI were highly correlated, with R2 = 0.93.
- Method / resource Eight measurements below the canopy were sufficient for accurate LAI estimation.
- Method / resource Applying the empirical calibration equation yielded accurate LAI estimates.
- Recommendation Local calibration is required for the estimation method.
- Recommendation The method is recommended for rapid, precise LAI estimation and canopy management decisions.