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In-Field Wheat Phenotyping Approach – Using a Stereo Imaging System for Canopy Characterization and Subsequent Modeling of Light Interception

Marie Theiß

My main research interest is computer vision based plant phenotyping. Different computer vision systems are used to obtain 3D reconstructed plant models and estimate phenotypic parameters like leaf angle distribution or leaf area index. Uncontrolled wind and light conditions, as well as the thin and flexible structure of leaves with little surface texture, make it difficult to obtain 3D reconstructions of cereal crops in the field. I established a stereo camera setup and developed an image processing pipeline to obtain 3D reconstructed plant models of wheat plants. Based on this models I compute the leaf angle distribution of the plants and investigate the impact of environmental changes on canopy structure of wheat and the consequences for light interception of the plants.