Method / resourcemodel-written summary

UAV LiDAR canopy height (CH) was highly correlated with in-situ measurements in corn (R2 at least 0.91, RMSE at most 15.43).

A claim from Assessing day and night UAV-based estimates of crop characterization using LiDAR · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

UAV LiDAR canopy height (CH) was highly correlated with in-situ measurements in corn (R2 at least 0.91, RMSE at most 15.43).

Outcome
CHe0
Value
R 2 ≥0.91; RMSE ≤15.43e0
Qualifier
highly correlatede0
Comparator
in-situe0
Setting
Temple, Texase1

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentDirection

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

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“both CH ( R 2 ≥0.91; RMSE ≤15.43) and LAI ( R 2 ≥0.77, RMSE =0.52) measurements are highly correlated when comparing in-situ and LiDAR-based measurements”

✓ located verbatim in the source · abstract, characters 988–1141
e1

“multi-planting date (seven dates) corn experiments conducted in Temple, Texas”

✓ located verbatim in the source · abstract, characters 887–964

Title

Assessing day and night UAV-based estimates of crop characterization using LiDAR

K. Colton Flynn; Gurjinder S. Baath; Bala Ram Sapkota; et al. Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.101805

Other claims from this paper (4)

Record rev-b510fe552e976a19e08a6330b8a792684eab13309a2ed8533fa8a3178657340b · schema claims-v0.9 · position 1 in the model’s answer