Claim · model-written summary
The method is recommended for rapid, precise LAI estimation and canopy management decisions.
- Outcome
- rapid and precise LAI estimation in VSP training systems and for supporting canopy or management decisions based on LAIe0
VitisNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The method presented provides a useful tool for rapid and precise LAI estimation in VSP training systems and for supporting canopy or management decisions based on LAI.”
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 The tested protocol had the lowest RMSE, 0.21.
- 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.