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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Detalles Bibliográficos
Autores principales: Khanna, Raghav, Schmid, Lukas, Walter, Achim, Nieto, Juan, Siegwart, Roland, Liebisch, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364450/
https://www.ncbi.nlm.nih.gov/pubmed/30774703
http://dx.doi.org/10.1186/s13007-019-0398-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364450/
https://www.ncbi.nlm.nih.gov/pubmed/30774703
http://dx.doi.org/10.1186/s13007-019-0398-8

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