Off-the-shelf image analysis models outperform human visual assessment in identifying genes controlling seed color variation in sorghum
N. Shrestha, H. Mangal, J. V. Torres-Rodriguez, M. C. Tross, L. Lopez-Corona, K. Linders, G. Sun, R. V. Mural, J. C. Schnable
The paper uses image analysis models to quantify seed color in sorghum, finding they outperform human assessment and identify more genomic signals linked to seed color genes.
bioRxiv · Jul 22, 2024Plant Biology