DeepCob: Precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics
L. Kienbaum, M. Correa Abondano, R. H. Blas Sevillano, K. J. Schmid
The paper develops a deep learning pipeline using Mask R-CNN for high-throughput maize cob phenotyping, showing superior performance to classical methods and demonstrating its application in genebank analysis.
bioRxiv · Mar 16, 2021Plant Biology