Experiment specific models had higher accuracy than pooled models.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Taxon: wheatTriticum aestivumt0
Outcome: accuratee0
Direction: more accuratee0
Comparator: those modelling all experiments togethere0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier

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

*Triticum aestivum* · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0
“Models, tailored to specific experiments were more accurate than those modelling all experiments together”
✓ located verbatim in the source · abstract, characters 787–892

t0
“wheat”
✓ located verbatim in the source · title, characters 73–78

Title

Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location

Daniel T. L. Smith; Qiaomin Chen; Sean Reynolds Massey-Reed; et al. Plant Methods 2024. doi:10.1186/s13007-024-01236-w

Other claims from this paper (5)

Method / resource Combining geometric and spectral traits increased biomass prediction accuracy.
Method / resource RFE selection slightly reduced accuracy while increasing interpretability.
Method / resource Models trained for broad growth stages did not significantly increase accuracy.
Method / resource Permanent and precise plot regions yielded negligible accuracy differences.
Method / resource Within season repeatability differed significantly among experiments.

Record rev-dff511bef9d5b5c8321e8d6eb9f79304283f3ded0ab91fbb94815e32ee257432 · schema claims-v0.9 · position 3 in the model’s answer