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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Plant Methods
Hauptverfasser: Khanna, Raghav, Schmid, Lukas, Walter, Achim, Nieto, Juan, Siegwart, Roland, Liebisch, Frank
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2019
Schlagworte:
Online Zugang: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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