
Seed Breeding
Our AI-powered visual inspection technology is capable of detecting and classifying impurities such as foreign materials, weed seeds, and other grains. In addition, it provides detailed insights and data for each sample by measuring the width, thickness, length, volume, and color of every individual kernel.
Every kernel holds clues to your next breakthrough. At Cgrain, we merge advanced imaging with cutting-edge AI so you can unlock richer, more reliable insights—without adding hours to your workflow.
Advanced Image Analysis for Precise Physical Data
High-resolution cameras and lighting capture each seed’s exact width, length, thickness and color profile—turning subjective estimates into hard numbers.
Objective Impurity Classification by AI
Trained on thousands of labeled images, our deep-learning models spot foreign material, weed seeds and off-type kernels with unwavering consistency—even in large batches.
Seamless Sorting via the Cgrain Value Sorter
Once defects are detected, the Value Sorter gently ejects unwanted kernels and funnels the best specimens into your breeding pipeline—so you only work with clean, uniform samples.
Richer Kernel-Level Data for Smarter Decisions
Every datapoint—size distribution, color uniformity, impurity rate—feeds into interactive dashboards and exportable reports. You’ll see patterns emerge across generations and make selections backed by statistics, not guesswork.
By weaving Cgrain’s tools into your seed-breeding program, you free yourself from repetitive inspections and gain the confidence to ask bolder questions: Which trait combinations will push yield ceilings? Where lies untapped genetic potential? Let Cgrain handle the details, so you can steer your research toward tomorrow’s high-performing varieties.
