Method / resourcemodel-written summary

Prediction RMSEP for cotton leaves was as low as 3.36.

A claim from Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves · 2022

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Prediction RMSEP for cotton leaves was as low as 3.36.

Taxon
cotton leavesGossypium hirsutume0
Outcome
root mean square error of prediction (RMSEP)e0
Direction
as low ase0
Value
3.36e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingQualifier

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

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the root mean square error of prediction (RMSEP) of quantitative prediction models of cotton leaves was as low as 3.36.”

✓ located verbatim in the source · abstract, characters 1057–1176

Title

Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves

Qinlin Xiao; Na Wu; Wentan Tang; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1080745

Other claims from this paper (3)

Record rev-910142000f286e6ee5e3c92f6238ff90641a34bf4acb7fc3ef4b705a4ee70f77 · schema claims-v0.9 · position 3 in the model’s answer