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.
Problem
Mixed lots are hard to quantify consistently with visual inspection, especially across operators and sites. Small color shifts, similar shapes, and partial breakage make manual ratio estimates noisy and non-repeatable.
Vibe solution
Imaging-based segmentation + classification using morphology features (length/width, shape, broken kernels) and color index to estimate component ratios, distributions, and contamination signals. Results exported to CSV/Excel for QC baselines.
Measured outcomes
Consistent, repeatable mix-ratio outputs suitable for batch and supplier comparison, and standardized QC thresholds.
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.
