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Deep learning-based high-throughput phenotyping can drive future discoveries in plant reproductive biology

Advances in deep learning are providing a powerful set of image analysis tools that are readily accessible for high-throughput phenotyping applications in plant reproductive biology. High-throughput phenotyping systems are becoming critical for answering biological questions on a large scale. These...

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Detalles Bibliográficos
Autores principales: Warman, Cedar, Fowler, John E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128740/
https://www.ncbi.nlm.nih.gov/pubmed/33725183
http://dx.doi.org/10.1007/s00497-021-00407-2