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@ARTICLE{Lobet:836060,
author = {Lobet, Guillaume},
title = {{I}mage {A}nalysis in {P}lant {S}ciences: {P}ublish {T}hen
{P}erish},
journal = {Trends in plant science},
volume = {22},
number = {7},
issn = {1360-1385},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2017-05184},
pages = {559 - 566},
year = {2017},
abstract = {Image analysis has become a powerful technique for most
plant scientists. In recent years dozens of image analysis
tools have been published in plant science journals. These
tools cover the full spectrum of plant scales, from single
cells to organs and canopies. However, the field of plant
image analysis remains in its infancy. It still has to
overcome important challenges, such as the lack of robust
validation practices or the absence of long-term support. In
this Opinion article, I: (i) present the current state of
the field, based on data from the plant-image-analysis.org
database; (ii) identify the challenges faced by its
community; and (iii) propose workable ways of improvement.},
cin = {IBG-3},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000403826100005},
pubmed = {pmid:28571940},
doi = {10.1016/j.tplants.2017.05.002},
url = {https://juser.fz-juelich.de/record/836060},
}