TY  - JOUR
AU  - Scharr, Hanno
AU  - Dee, Hannah
AU  - French, Andrew P.
AU  - Tsaftaris, Sotirios A.
TI  - Special issue on computer vision and image analysis in plant phenotyping
JO  - Machine vision and applications
VL  - 27
IS  - 5
SN  - 1432-1769
CY  - Berlin
PB  - Springer
M1  - FZJ-2016-04387
SP  - 607 - 609
PY  - 2016
N1  - Editorial of the special issue
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000379708400001
DO  - DOI:10.1007/s00138-016-0787-1
UR  - https://juser.fz-juelich.de/record/817744
ER  -