Claim · model-written summary
The RDVI overall accuracy dropped to 39% before harvest, with kappa 0.08.
- Taxon
- cotton
Gossypium hirsutume0 - Organ / stage
- before harveste5
- Outcome
- overall accuracye4
- Direction
- droppinge5
- Value
- 39%e5
- Qualifier
- κ = 0.08e5
Not reportedMaterialGeneCompoundInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSetting
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“a cotton ( Gossypium hirsutum L.) field”
e4“the overall accuracy (and kappa) of RDVI at early stages was 61% (κ = 0.39)”
e5“dropping to 39% (κ = 0.08) before harvest”
Title
P. J. Zarco‐Tejada; S. L. Ustin; M. L. Whiting Agronomy Journal 2005. doi:10.2134/agronj2003.0257
Other claims from this paper (5)
- Association Structural indices related to LAI gave the best relationships with cotton yield and field segmentation at early growth stages.
- Association Hyperspectral indices related to crop physiological status were superior at later growth stages, close to harvest.
- Method / resource The RDVI index reached an overall accuracy of 61% at early stages, with kappa 0.39.
- Method / resource The MCARI index reached an overall accuracy of 51% at late preharvest stage, with kappa 0.22.
- Association Within-field variability of yield monitor data collected at harvest was correlated with hyperspectral indices of crop growth, canopy structure, chlorophyll and water content.