Claim · model-written summary
The Sine model accurately fitted the growth dynamics of curd area.
- Taxon
- cauliflower
Brassica oleracea var. botrytist0 - Outcome
- growth dynamics of leaf area and curd areae0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“cauliflower”
e0“the Richards model and Sine model were used to accurately fit the growth dynamics of leaf area and curd area, respectively”
Title
Saichuan Cheng; Sidi Wu; Qingqing Shao; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1836813
Other claims from this paper (8)
- Method / resource YOLO12s-seg was the optimal instance segmentation model among those screened for cauliflower plants and curds.
- Method / resource YOLO12s-seg achieved a segmentation mask mAP 50 of 99.4% for plants and curds in sparsely planted images.
- Method / resource The model showed an advantage in identifying partially occluded early curds beneath inner leaves.
- Method / resource Traits such as plant canopy width and curd diameter automatically extracted from segmentation were highly consistent with manual measurements (R2 > 0.90).
- Method / resource The Richards model accurately fitted the growth dynamics of leaf area.
- Observation Based on growth kinetics, curds were classified into three types: mature and compact, peak-burst, and steady-increase.
- Observation Cluster analysis of 47 germplasms based on high-throughput phenotyping data revealed four groups with distinct growth characteristics.
- Method / resource A platform for cauliflower growth monitoring and phenotypic analysis was developed, giving full-process support from automatic image processing to growth dynamic analysis.