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Wheat Crease Detection

Breeding & Quality Control
Automated wheat crease detection using high-resolution imaging to quantify crease depth and kernel geometry as a milling yield and variety indicator.
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Wheat Crease Detection
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 traceable exports for variety comparisons.

Measured outcomes

Objective crease measurements for milling yield prediction, breeding selection support, and standardized kernel geometry reporting.

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Wheat phenotyping and grading using morphology distributions, calibrated color index, damage/defect classification, severity scoring, and traceable reporting.