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Wheat FDK Detection: Fusarium-Damaged Kernel Analysis

Grain Safety & Quality Control
Wheat analysis
Automated Fusarium-damaged kernel (FDK) detection using imaging-based morphology and color analysis to quantify damage rates and support food safety decisions.
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Wheat FDK Detection: Fusarium-Damaged Kernel Analysis
Problem

FDK kernels carry mycotoxin risk; manual detection is slow, subjective, and unreliable for consistent food safety screening at commercial scale.

Vibe solution

Imaging classification to identify FDK kernels by color and morphology indicators, quantify damage prevalence, and produce traceable outputs for safety thresholds and QC baselines.

Measured outcomes

More reliable FDK screening, objective damage rates per lot, and consistent safety documentation aligned with regulatory and buyer requirements.

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.

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