Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Herzog Katja"'
Autor:
Huber, Florian, Engler, Hannes, Kicherer, Anna, Herzog, Katja, Töpfer, Reinhard, Steinhage, Volker
Explainability in yield prediction helps us fully explore the potential of machine learning models that are already able to achieve high accuracy for a variety of yield prediction scenarios. The data included for the prediction of yields are intricat
Externí odkaz:
http://arxiv.org/abs/2304.07111
Publikováno v:
BIO Web of Conferences, Vol 5, p 01018 (2015)
Recently several papers appeared describing initial steps for novel phenotyping technologies in grapevine management, research and breeding. Kicherer and coworkers were the first using a robotic device which permits to follow a GPS track, stopping in
Externí odkaz:
https://doaj.org/article/9f2731d975494b2483049370aad5edf8
Autor:
Grimm, Jonatan, Herzog, Katja, Rist, Florian, Kicherer, Anna, Töpfer, Reinhard, Steinhage, Volker
In (grapevine) breeding programs and research, periodic phenotyping and multi-year monitoring of different grapevine traits, like growth or yield, is needed especially in the field. This demand imply objective, precise and automated methods using sen
Externí odkaz:
http://arxiv.org/abs/1811.09561
Autor:
Barré, Pierre, Herzog, Katja, Höfle, Rebecca, Hullin, Matthias B., Töpfer, Reinhard, Steinhage, Volker
In viticulture the epicuticular wax as the outer layer of the berry skin is known as trait which is correlated to resilience towards Botrytis bunch rot. Traditionally this trait is classified using the OIV descriptor 227 (berry bloom) in a time consu
Externí odkaz:
http://arxiv.org/abs/1807.07343
Yield and its prediction is one of the most important tasks in grapevine breeding purposes and vineyard management. Commonly, this trait is estimated manually right before harvest by extrapolation, which mostly is labor-intensive, destructive and ina
Externí odkaz:
http://arxiv.org/abs/1807.03770
Autor:
Japes, Bernhard, Mack, Jennifer, Rist, Florian, Herzog, Katja, Töpfer, Reinhard, Steinhage, Volker
Semantic labeling of 3D point clouds is important for the derivation of 3D models from real world scenarios in several economic fields such as building industry, facility management, town planning or heritage conservation. In contrast to these most c
Externí odkaz:
http://arxiv.org/abs/1805.03994
Autor:
Roscher, Ribana, Herzog, Katja, Kunkel, Annemarie, Kicherer, Anna, Töpfer, Reinhard, Förstner, Wolfgang
Publikováno v:
Computers and Electronics in Agriculture 100 (2014), 148--158
The berry size is one of the most important fruit traits in grapevine breeding. Non-invasive, image-based phenotyping promises a fast and precise method for the monitoring of the grapevine berry size. In the present study an automated image analyzing
Externí odkaz:
http://arxiv.org/abs/1712.05647
Publikováno v:
In Biosystems Engineering September 2020 197:285-305
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Grimm, Jonatan, Herzog, Katja, Rist, Florian, Kicherer, Anna, Töpfer, Reinhard, Steinhage, Volker
Publikováno v:
In Biosystems Engineering July 2019 183:170-183