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001044233 005__ 20250728202334.0
001044233 020__ $$a978-94-62614-32-1
001044233 0247_ $$2doi$$a10.17660/ActaHortic.2025.1433.6
001044233 0247_ $$2ISSN$$a0567-7572
001044233 0247_ $$2ISSN$$a2406-6168
001044233 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-03121
001044233 037__ $$aFZJ-2025-03121
001044233 041__ $$aEnglish
001044233 082__ $$a640
001044233 1001_ $$0P:(DE-Juel1)164665$$aHe, F.$$b0$$eFirst author
001044233 1112_ $$aV European Horticultural Congress$$cBucharest$$d2024-05-12 - 2024-05-16$$gEHC2024$$wRomania
001044233 245__ $$aAutomatic evaluation of Arnica flower development for optimized active ingredient yields
001044233 260__ $$aThe Hague$$c2025
001044233 29510 $$aInternational Symposium on Robotics, Mechanization and Smart Horticulture
001044233 300__ $$a47-56
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001044233 4900_ $$aActa horticulturae
001044233 520__ $$aIn biogenic value creation, medicinal plants are playing an important role including the commercial cultivation to meet the growing global demand. This opens up new opportunities to improve harvest quantities through breeding, cultivation management and harvesting techniques. An important aspect is the determination of optimal harvest times, which depend on the weather conditions, the state of the plant organ with regard to the harvesting process and the content of the active ingredients, which fluctuates over time. In this study, we used the medicinal plant Arnica montana ‘Arbo’ to examine the aspect of target compound yield of helenalin, dihydrohelenalin and their esters depending on the life cycle of the flower, in order to develop methods for estimating optimal harvest time windows. A neural network was trained to classify seven stages from time-lapse images in order to track the development of each flower stage. To get typical content values, Arnica plants were grown in the field and amounts of the two target compound 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 and thereby determine better harvest time windows. This method is interesting also for other crops where external features can be used as a proxy for active compound concentrations.
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001044233 7001_ $$0P:(DE-HGF)0$$aGrundmann, L.$$b1
001044233 7001_ $$0P:(DE-Juel1)129349$$aKuhn, A. J.$$b2
001044233 7001_ $$0P:(DE-Juel1)142555$$aMüller-Linow, M.$$b3$$eCorresponding author
001044233 773__ $$0PERI:(DE-600)2255567-5$$a10.17660/ActaHortic.2025.1433.6$$gno. 1433, p. 47 - 56$$n1433$$p47 - 56$$x0567-7572$$y2025
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001044233 9141_ $$y2025
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