Journal Article

FZJ-2016-04387

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Special issue on computer vision and image analysis in plant phenotyping

Scharr, H. (Corresponding author)FZJ* ; Dee, H. ; French, A. P. ; Tsaftaris, S. A. (Corresponding author)

2016
Springer Berlin

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Please use a persistent id in citations: doi:10.1007/s00138-016-0787-1

Abstract: 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.

Note: Editorial of the special issue

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Contributing Institute(s):

1. Pflanzenwissenschaften (IBG-2)

Research Program(s):

1. 582 - Plant Science (POF3-582) (POF3-582)

Appears in the scientific report 2016

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Database coverage:
; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; IF < 5 ; JCR ; Nationallizenz ; No Authors Fulltext ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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