Cgrain AB
Redefining Grain Analysis System for Wheat Mills Industries - Agriculture
FromCgrain AB
In the world of grain quality control, precision and consistency are everything. Traditional visual inspection methods rely heavily on human judgment, which can vary from person to person and shift to shift. That’s where AI-powered ocular analysis steps in and shines.
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Cgrain’s advanced AI models are trained to evaluate each grain kernel with the same level of inspection, every single time. Using high-resolution imaging and machine learning, the system can rapidly and objectively assess a wide range of quality parameters, including:
- Wheat condition : Sound, broken, black germ, moldy, fusarium-infected, sprouted, or with husk
- Other cereals : Oats, durum, barley, rye
- Contaminants : Weed seeds, impurities, and ergot
By analyzing up to 12 kernels per second, Cgrain’s technology also helps with optimizing the yeild with its detailed data of each kernel.
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