Method / resourcemodel-written summary

Across all RGB indices, chlorophyll prediction performed best for C. estrellensis by determination coefficients and prediction errors.

A claim from Predictions of chlorophyll concentrations in the leaves of seedlings of two congeneric tropical trees from RGB digital image components · 2021

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Across all RGB indices, chlorophyll prediction performed best for C. estrellensis by determination coefficients and prediction errors.

Taxon
C. estrellensisCariniana estrellensise0
Outcome
best resultse0
Direction
beste0
Comparator
all indicese0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Cariniana estrellensis
Cariniana estrellensis · TaxonMauroguanandi, Mauro halpern · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Based on the highest coefficients of determination (R2) and lowest prediction errors (PE), for all indices, the best results were obtained for C. estrellensis”

✓ located verbatim in the source · abstract, characters 887–1045
e1

“The relationships between the three RGB indices and Chlt were tested”

✓ located verbatim in the source · abstract, characters 586–654

Title

Predictions of chlorophyll concentrations in the leaves of seedlings of two congeneric tropical trees from RGB digital image components

Marcelo Schramm Mielke; Luciana Santos Lobo; Geane Santos da Costa; et al. Southern Forests a Journal of Forest Science 2021. doi:10.2989/20702620.2021.1928566

Other claims from this paper (3)

Record rev-4753c2ec545bc1cae35b14a240304949da1f81eaf8ae77b1d6575d96ffa71556 · schema claims-v0.9 · position 3 in the model’s answer