%0 Journal Article
%A Scharr, Hanno
%A Dee, Hannah
%A French, Andrew P.
%A Tsaftaris, Sotirios A.
%T Special issue on computer vision and image analysis in plant phenotyping
%J Machine vision and applications
%V 27
%N 5
%@ 1432-1769
%C Berlin
%I Springer
%M FZJ-2016-04387
%P 607 - 609
%D 2016
%Z Editorial of the special issue
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000379708400001
%R 10.1007/s00138-016-0787-1
%U https://juser.fz-juelich.de/record/817744