Imaging & Analysis Workflows

Wheat

Grading, quality inspection, FDK detection, crease detection, and kernel size distributions.

Morphology

Color

Defects

Purity

Distributions

Explore 5 workflows · 3 publications

Overview

Wheat analysis covers kernel size/shape distributions, grading, quality inspection, Fusarium-damaged kernel (FDK) detection, crease detection, and contaminant screening. Measurements align with the USDA wheat standards and the Codex Alimentarius wheat standard.

Analysis workflows

Wheat Phenotyping and Grading Using QM3i Analyzer

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

Wheat Grading Using QM3i Analyzer

Standardized wheat grading using morphology distributions, calibrated color index, and defect severity scoring for consistent lot classification.

Wheat Quality Inspection

Comprehensive wheat quality inspection using morphology, calibrated color, defect classification, and severity scoring for research and commercial QC.

Wheat FDK Detection: Fusarium-Damaged Kernel Analysis

Automated Fusarium-damaged kernel (FDK) detection using imaging-based morphology and color analysis to quantify damage rates and support food safety decisions.

Wheat Crease Detection

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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Key measurements

Morphology

Color

Defects

Purity

Distributions

What We Measure

Kernel size distributions

Broken/damaged kernels

Defect screening

Grading

Quality inspection

FDK detection

Crease detection

Variants

No variants defined for this crop type yet.

Standards and references

USDA Wheat Standards Codex Standard for Wheat

Research using Wheat

Report of the 2024 Uniform Regional Scab Nursery for Spring Wheat Parents

Multi-location URSN report summarizing Fusarium head blight performance of spring wheat parent lines across MN/ND/SD sites, supported by USDA and the U.S. Wheat & Barley Scab Initiative.

Evaluation of Methods for Measuring Fusarium-Damaged Kernels of Wheat

Comparing manual counting, near-infrared spectroscopy, visual scoring, and the Vibe QM3 grain analyzer for scoring Fusarium-damaged kernels across 1,266 wheat entries, the Vibe QM3 platform showed the strongest prediction of DON content (R² = 0.63, rising to 0.76 when deployed as genomic estimated breeding values).

A network modeling approach provides insights into the environment-specific yield architecture of wheat

Kernel morphometric parameters (length, width, area, weight) measured with the Vibe QM3 grain analyzer fed a structural equation model mapping how QTL effects on yield components translate into overall wheat yield across five environments.