Wheat Crease Detection
Automated wheat crease detection using high-resolution imaging to capture visible crease geometry and kernel geometry as visual indicators associated with milling yield and variety identification.
Problem
Crease depth varies by variety and growing conditions; manual assessment is inconsistent and difficult to standardize across large sample sets.
Vibe solution
Imaging-based morphology workflow capturing crease indicators from per-kernel measurements, with distributions and structured exports for variety comparisons.
Measured outcomes
Quantified crease geometry data with visual indicators associated with milling yield, useful for breeding selection support and standardized kernel geometry reporting.
This workflow is part of Vibe's Wheat analysis & imaging workflows Visit the crop page for the full set of measurements, traits, varieties, and related analysis methods.
