A recent paper in the journal Seed Science and Technology shows that VideometerLab successfully solves the challenging task of discriminating sweet clover seeds from alfalfa seeds. The abstract states: "It is hard to remove sweet clover seeds from alfalfa seed lots by conventional methods, affecting the purity of seed lots and resulting losses in for alfalfa hay production as well as seed yield. However, the discrimination of sweet clover seed contaminates in alfalfa seed lots is difficult without special training. In this study, multispectral imaging with object-wise multivariate image analysis was evaluated for its potential to separate sweet clover and alfalfa seeds.".