Leveraging High-dimensional Seed Colorspace in Phenomic Selection Models for Herbaceous Perennial Crops
William Keaggy, Zachary N. Harris, Jackson Braley…·Allison J. Miller
The paper uses seed color and morphology data from image scans to predict germination traits in perennial crops, showing improved prediction accuracy when combining HSV color features with morphology.