Seed Analytics

Traditional methods of seed quality assessment are effective but often time-consuming, labor intensive, destructive and require highly trained experts

We combine multispectral imaging and machine learning to provide a fast, non-destructive and versatile seed evaluation system.

This system produces information that vastly improves the efficiency of your purity, germination, vigor, disease and coating analysis processes.

Application

The following tests can all be simultaneously completed in under 20 seconds

Physical purity

Size and shape distribution

Mechanical damage (broken, skinned and cracked kernels)

Germination and vigor prediction

Pathogen detection (fusarium, aflatoxin and other molds)

Foreign material detection

Other custom applications