Why Is Seed Imaging Revolutionizing Seed Analysis?
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.
The VideometerLab integrates spectral imaging with AI and machine learning, providing a fast, non-destructive, and versatile seed evaluation system that can evolve over time and effectively handle variation from growth season, location, varietal and climate changes. While developing a cloud database of virtualized seeds (aka digital twins), the Videometer technology offers a backbone for seed phenotype databases due to its fast, non-destructive, and versatile measurements.
What Is Seed Phenotyping?
The seed phenotype consists of all observable characteristics (e.g. length, weight, shape, color) of a seed resulting from the seed genotype expressed through the lifetime environment of the seed. Distinct variants (e.g. long, red caryopsis, mold resistant) of phenotypic characteristics are called traits.
Learn MoreHow To Do Seed Phenotyping
Spectral imaging seed analysis protocol:
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