Method / resourcemodel-written summary

PLSR gave the best whole growth period LAI estimate, R2 0.70 and rRMSE 12.78%.

A claim from Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms · 2021

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

PLSR gave the best whole growth period LAI estimate, R2 0.70 and rRMSE 12.78%.

Taxon
maizeZea mayse1
Outcome
best estimatee0
Direction
beste0
Value
R2 = 0.70e0
Qualifier
rRMSE = 12.78%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSetting

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the PLSR model provided the best estimate (R2 = 0.70, rRMSE = 12.78%) for a whole growth period”

✓ located verbatim in the source · abstract, characters 1306–1401
e1

“estimate maize LAI, and the effect”

✓ located verbatim in the source · abstract, characters 275–309

Title

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms

Shuaibing Liu; Xiuliang Jin; Chenwei Nie; et al. PLANT PHYSIOLOGY 2021. doi:10.1093/plphys/kiab322

Other claims from this paper (4)

Record rev-b5cbbffb0fe4734cd27a3c3fb8640b776693edc33bbe2c8b2bf8aab7d92a8d73 · schema claims-v0.9 · position 3 in the model’s answer