Vibe Workflows

Rice Broken-Kernel Detection

Grain Processing

Image-based detection and measurement of broken-kernel percentage for sample comparison and quality assessment.

Problem

Broken-kernel percentage affects quality assessment and buyer decisions; manual counting is slow, inconsistent, and inadequate for high-throughput processing lines.

Vibe solution

Per-grain morphology analysis classifying whole versus broken kernels, measuring broken-kernel percentage, and exporting distributions with structured sample documentation.

Measured outcomes

Consistent broken-kernel measurements and structured QC records for sample comparison.

This workflow is part of Vibe's Rice analysis & imaging workflows Visit the crop page for the full set of measurements, traits, varieties, and related analysis methods.

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Grain Processing

Paddy Rice Quality Analysis

Non-destructive paddy rice assessment using morphology, defect screening, and color index to capture visual indicators associated with milling performance and visible defects and kernel condition.

Grain Processing

Parboiled Rice Quality Analysis

Parboiled rice QC using color index and uniformity scoring to detect uneven processing signals batch-by-batch.

Food Science & Quality Control

Mixed Rice Ratio Analysis: Basmati, Brown, Red and Wild

Quantify mix ratios and composition in mixed rice using image-based segmentation, morphology, and color index classification.