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@INPROCEEDINGS{He:1035348,
author = {He, Fang and Müller-Linow, Mark and Kuhn, Arnd Jürgen},
title = {{S}mart monitoring of the {A}rnica flower development for
better harvest times},
reportid = {FZJ-2025-00395},
year = {2024},
abstract = {In biogenic value creation, medicinal plants are playing an
important role including thecommercial cultivation to meet
the growing global demand. This opens up newopportunities to
improve harvest quantities through breeding, cultivation
managementand harvesting techniques. An important aspect is
the determination of optimal harvesttimes, which depend on
the weather conditions, the state of the plant organ with
regardto the harvesting process and the content of the
active ingredients, which fluctuates overtime. In this
study, we used the medicinal plant Arnica montana “Arbo”
to examine theaspect of target compound yield of helenalin,
dihydrohelenalin and their estersdepending on the life cycle
of the flower, in order to develop methods for
estimatingoptimal harvest time windows. A neural network was
trained to classify seven stagesfrom time-lapse images in
order to track the development of each flower stage. To
gettypical content values, arnica plants were grown in the
field and amounts of the two targetcompound classes were
determined for each flower type. By combining both
outcomes,it was possible to calculate the time course of the
total amount of active compounds andthereby determine better
harvest time windows. This method is interesting also for
othercrops where external features can be used as a proxy
for active compoundconcentrations.},
month = {May},
date = {2024-05-12},
organization = {European Horticulture Congress,
Bucharest (Romania), 12 May 2024 - 16
May 2024},
cin = {IBG-2},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {2A6 - Bioeconomy (CARF - CCA) (POF4-2A6) / 2171 -
Biological and environmental resources for sustainable use
(POF4-217)},
pid = {G:(DE-HGF)POF4-2A6 / G:(DE-HGF)POF4-2171},
typ = {PUB:(DE-HGF)1},
url = {https://juser.fz-juelich.de/record/1035348},
}