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Published in: Machine Vision and Applications 5/2016

01-07-2016 | Editorial

Special issue on computer vision and image analysis in plant phenotyping

Authors: Hanno Scharr, Hannah Dee, Andrew P. French, Sotirios A. Tsaftaris

Published in: Machine Vision and Applications | Issue 5/2016

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Excerpt

Plant phenotyping is the identification of effects on the phenotype (i.e., the plant appearance and behavior) as a result of genotype differences (i.e., differences in the genetic code) and the environment. Previously, the process of taking phenotypic measurements has been laborious, costly, and time-consuming. In recent years, noninvasive, imaging-based methods have become more common. These images are recorded by a range of capture devices from small embedded camera systems to multi-million Euro smart greenhouses, at scales ranging from microscopic images of cells, to entire fields captured by UAV imaging. …

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Metadata
Title
Special issue on computer vision and image analysis in plant phenotyping
Authors
Hanno Scharr
Hannah Dee
Andrew P. French
Sotirios A. Tsaftaris
Publication date
01-07-2016
Publisher
Springer Berlin Heidelberg
Published in
Machine Vision and Applications / Issue 5/2016
Print ISSN: 0932-8092
Electronic ISSN: 1432-1769
DOI
https://doi.org/10.1007/s00138-016-0787-1

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