ANDREAS HUND
Andreas Hund leads the team of physiological breeding at ETH Zurich. Together with research partners and breeders the team develops new phenotyping methods to enhance the genetic gain for climate-change adaptation. It aims to test the hypothesis that short-term responses to weather pattern may be used to identify genotypes better adapted to heat and drought during critical stages for yield formation. To achieve this, the group uses the unique Field Phenotyping Platform (FIP), drones and mobile devices. The data derived from continuous phenotyping is processed with advanced feature extraction methods and modelling tools to derive the relevant traits.
Publications
Zenkl et al. (2022) Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset
Anderegg et al. (2021) Temporal trends in canopy temperature and greenness are potential indicators of late-season drought avoidance and functional stay-green in wheat.
Field Phenotyping Platform_1
Field Phenotyping Platform_2
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ANDREAS HUND
Institution: ETH Zurich; Switzerland