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A spatio temporal spectral framework for plant stress phenotyping

BACKGROUND: Recent advances in high throughput phenotyping have made it possible to collect large datasets following plant growth and development over time, and those in machine learning have made inferring phenotypic plant traits from such datasets possible. However, there remains a dirth of datase...

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Detalhes bibliográficos
Publicado no:Plant Methods
Main Authors: Khanna, Raghav, Schmid, Lukas, Walter, Achim, Nieto, Juan, Siegwart, Roland, Liebisch, Frank
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6364450/
https://ncbi.nlm.nih.gov/pubmed/30774703
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-019-0398-8
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