Shapescience – AI for morpholigcally based fruit variety recognition (Shapescience)
Description
Pomological and molecular genetic methods have been the tools of choice to describe fruit varieties and their characteristics. Thanks to the possibility of using 3D scanning technology and machine learning, there is a revival of phenotyping, i.e. the typification of fruits based on their appearance. The Shapescience project attempts to use the potential offered by state-of-the-art machine learning approaches for phenotyping in selected areas of pomology and variety breeding.
Key data
Projectlead
Project team
Project partners
Eidgenössische Technische Hochschule Zürich ETHZ; Realisation Schmid
Project status
ongoing, started 10/2021
Institute/Centre
Institute of Computational Life Sciences (ICLS)
Funding partner
Bundesamt für Landwirtschaft BLW
School of Life Sciences and Facility Management
Schloss
8820 Wädenswil