Method / resourcemodel-written summary

Images from RootDS did not affect RSML output compared with manual thresholding.

A claim from An image‐based technique for automated root disease severity assessment using PlantCV · 2023

Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

Images from RootDS did not affect RSML output compared with manual thresholding.

Taxon
common beanPhaseolus vulgarise1
Interactor
Fusarium root rote1pathogen
Outcome
RSML outpute0
Direction
did not affecte0
Comparator
traditional manual thresholdinge0

Not reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleTreatmentSettingValueQualifier

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Compared to traditional manual thresholding, images generated using our pipeline did not affect RSML output.”

✓ located verbatim in the source · abstract, characters 1085–1193
e1

“We tested the pipeline in common bean inoculated with Fusarium root rot.”

✓ located verbatim in the source · abstract, characters 900–972

Title

An image‐based technique for automated root disease severity assessment using PlantCV

Logan D. Pierz; Dilyn R. Heslinga; C. Robin Buell; et al. Applications in Plant Sciences 2023. doi:10.1002/aps3.11507

Other claims from this paper (2)

Record rev-e251c0982079910e5d8077a8e41b3d96337c3f2382bd9c13da647dc142792faf · schema claims-v0.9 · position 2 in the model’s answer