A spatio temporal spectral framework for plant stress phenotyping

Abstract 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 o...

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Bibliographic Details
Main Authors: Raghav Khanna, Lukas Schmid, Achim Walter, Juan Nieto, Roland Siegwart, Frank Liebisch
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Plant Methods
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13007-019-0398-8