Claim · model-written summary
The pipeline was about 227 times more efficient than manual scoring.
- Taxon
- soybean
Glycine maxe1 - Outcome
- efficiencye0
- Direction
- improvemente0
- Value
- ~227-folde0
- Comparator
- manual scoringe0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“representing a ~227-fold improvement in efficiency compared to manual scoring (~2 h 20 min)”
e1“soybean plants”
Title
YOLO-based high-throughput phenotyping pipeline for soybean nodulation traits in genomic research
Kuber Shivashakarappa; Niraj Ghimire; Lin Wang; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1816132
Other claims from this paper (8)
- Method / resource The pipeline measures 24 nodulation traits.
- Method / resource Nodule detection precision was 0.94.
- Method / resource Nodule detection recall was 0.95.
- Method / resource Nodule detection F1 was 0.94.
- Method / resource The pipeline processed 50 root images in 37 seconds.
- Observation GWAS identified 50 significant SNPs for nodulation traits.
- Association Several candidate genes may regulate nodulation.
- Method / resource Resources for the pipeline were made publicly available.