Zenkl R - Search Results

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SYMPATHIQUE: image-based tracking of symptoms and monitoring of pathogenesis to decompose quantitative disease resistance in the field.

Anderegg J, Zenkl R, Kirchgessner N, Hund A, Walter A, McDonald BA. Anderegg J, et al. Among authors: zenkl r. Plant Methods. 2024 Nov 10;20(1):170. doi: 10.1186/s13007-024-01290-4. Plant Methods. 2024. PMID: 39523314 Free PMC article.

Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions.

Anderegg J, Kirchgessner N, Aasen H, Zumsteg O, Keller B, Zenkl R, Walter A, Hund A. Anderegg J, et al. Among authors: zenkl r. Front Plant Sci. 2024 Jun 4;15:1335037. doi: 10.3389/fpls.2024.1335037. eCollection 2024. Front Plant Sci. 2024. PMID: 38895615 Free PMC article.

Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies.

Anderegg J, Zenkl R, Walter A, Hund A, McDonald BA. Anderegg J, et al. Among authors: zenkl r. Plant Phenomics. 2023 Jun 22;5:0053. doi: 10.34133/plantphenomics.0053. eCollection 2023. Plant Phenomics. 2023. PMID: 37363146 Free PMC article.

Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset.

Zenkl R, Timofte R, Kirchgessner N, Roth L, Hund A, Van Gool L, Walter A, Aasen H. Zenkl R, et al. Front Plant Sci. 2022 Jan 4;12:774068. doi: 10.3389/fpls.2021.774068. eCollection 2021. Front Plant Sci. 2022. PMID: 35058948 Free PMC article.

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