Seed quality assessment based on spectral imaging is currently transforming the seed industry. Traditional methods based on physical, physiological, biochemical, and molecular evaluation are effective, but often time-consuming, labor intensive, destructive, and requiring highly trained seed experts.
Spectral imaging is integrated with machine learning in the VideometerLab instrument providing a fast, non-destructive, and versatile seed evaluation system that can evolve over time and effectively handle variation from growth season to growth season, location, varietal and climate changes through a cloud database of virtualized seeds.
Spectral imaging seed testing protocol
Read the SpectraSeed presentations: