Claim · model-written summary
Lower image resolution slightly reduced accuracy, without significant differences for most progression measures.
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Verbatim
e0“While lower resolution slightly reduced accuracy, differences were statistically insignificant for most disease progression parameters, significantly reducing processing time and storage space.”
Title
RGB image-based method for phenotyping rust disease progress in pea leaves using R
Salvador Osuna-Caballero; Tiago Olivoto; Manuel A. Jiménez-Vaquero; et al. Plant Methods 2023. doi:10.1186/s13007-023-01069-z
Other claims from this paper (8)
- Method / resource A method automatically estimates pustule and leaf area parameters.
- Method / resource The method reconstructs leaf time series and disease progression parameters.
- Observation Disease response varied significantly among pea genotypes using visual and image analysis.
- Method / resource NGRDI analyzed 600 leaflets at 60% resolution in 62 seconds.
- Method / resource Image and visual pustule counts had concordance above 0.98.
- Method / resource Lower resolution reduced processing time and storage space.
- Method / resource NGRDI was optimal at all time points with high accuracy and little accumulated error.
- Method / resource The method was more accurate than other image approaches and comparable to visual methods.