Recommendationmodel-written summary

These models could conveniently diagnose rice nitrogen status in the field.

A claim from Leaf area index based nitrogen diagnosis in irrigated lowland rice · 2018

Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

These models could conveniently diagnose rice nitrogen status in the field.

Outcome
N status of rice can be diagnosed conveniently in the fielde0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

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

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“With these models, the N status of rice can be diagnosed conveniently in the field.”

✓ located verbatim in the source · abstract, characters 1443–1526
t0

“rice”

✓ located verbatim in the source · title, characters 62–66

Title

Leaf area index based nitrogen diagnosis in irrigated lowland rice

Xiao-jun LIU; Qiang CAO; Zhao-feng YUAN; et al. Journal of Integrative Agriculture 2018. doi:10.1016/s2095-3119(17)61714-3

Other claims from this paper (6)

Record rev-3fcbc1d4fa9b438d1fa2a51fc9a96f82bb4338f2b88ae9f457393f960f65a991 · schema claims-v0.9 · position 7 in the model’s answer