Short project description

Grain yield of perennial grain crops (e.g. Intermediate wheatgrass) is low – a bottle neck for domestication. Due to their complex genomic structure, phenomic selection that relies on intensive phenotyping on plant traits can potentially be used for development of these novel crops. This requires visualization of grain shape, spike geometry and canopy architecture high-throughput which can speed up the identification of ideal plant candidates with greater grain yield potential. This master project aims to pipeline the process of plant canopy visualization in 3D by acquiring images and constructing models from thousands of individual plants.