Method / resourcemodel-written summary

Identifying cotton leaves using predicted leaf nitrogen also performed well.

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

Identifying cotton leaves using predicted leaf nitrogen also performed well.

Taxon
cotton leavesGossypium hirsutume0
Outcome
good resultse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

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 identification of cotton leaves based on the predicted LNC also achieved good results.”

✓ located verbatim in the source · abstract, characters 1190–1280

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-0f009d6ea24da0fe4a4fca9fc869272435e320ed7621f0028e530252772b77f2 · schema claims-v0.9 · position 4 in the model’s answer