Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies.
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ABSTRACT:
SUBMITTER: Ubbens J
PROVIDER: S-EPMC7706325 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies.
Ubbens Jordan J Cieslak Mikolaj M Prusinkiewicz Przemyslaw P Parkin Isobel I Ebersbach Jana J Stavness Ian I
Plant phenomics (Washington, D.C.) 20200120
Association mapping studies have enabled researchers to identify candidate loci for many important environmental tolerance factors, including agronomically relevant tolerance traits in plants. However, traditional genome-by-environment studies such as these require a phenotyping pipeline which is capable of accurately measuring stress responses, typically in an automated high-throughput context using image processing. In this work, we present Latent Space Phenotyping (LSP), a novel phenotyping m ...[more]
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