Fraunhofer Institute for Computer Graphics Research IGD
Fraunhofer Institute for Computer Graphics Research IGD

3D point clouds for grain breeding

Workflow for AI-based analysis of cereal crops using 3D point cloud data.
Rekonstruierte 3D-Punktewolke eines Weizenbestands als Grundlage für die automatisierte Analyse von Pflanzenstrukturen in der Getreidezüchtung.
Color-coded 3D point cloud of cereal plants.
Farbcodierte Darstellung automatisch erkannter Weizenähren in einer 3D-Punktewolke. Die KI-basierte Analyse unterstützt die präzise Datenerhebung in der Getreidezüchtung.

Grain Breeding

Grain is a staple food worldwide. In the context of land use, climate change and a growing world population, the breeding of efficient, robust and high-performance grain varieties is more important than ever.

The recording of quality parameters for the evaluation of new varieties is mainly carried out manually and requires a lot of time and personnel. An automated recording of the most important parameters such as crop density (number of ears per square meter), but also the development of new methods that record parameters that were previously not recordable, is therefore of considerable interest to breeding companies and research.

This is what the "Point clouds in breeding" project is about, which deals with the efficient collection and evaluation of 2D image data and 3D information on grain in field trials. Part of the project is to develop an AI pipeline that can handle point cloud data and derive known breeding parameters such as crop density and new breeding parameters such as ear volume from this data by detecting the ears.

 

Workflow for AI-based analysis of cereal crops using 3D point cloud data.

AI in the wheat field: 3D point clouds for cereal breeding

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AI-generated 3D point clouds for cereal breeding analysis.

 

Bioeconomy

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