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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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Dades bibliogràfiques
Publicat a:Plant Methods
Autors principals: Khanna, Raghav, Schmid, Lukas, Walter, Achim, Nieto, Juan, Siegwart, Roland, Liebisch, Frank
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2019
Matèries:
Accés en línia: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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