Claim · model-written summary
The method was more accurate than other image approaches and comparable to visual methods.
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Verbatim
e0“It rapidly analyses hundreds of images with accuracy comparable to visual methods and higher than other image-based approaches.”
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 image resolution slightly reduced accuracy, without significant differences for most progression measures.
- 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.