Laura Zabawa
Laura Zabawa
PhD Candidate and Research Assistant, University of Bonn
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Counting of grapevine berries in images via semantic segmentation using convolutional neural networks
L Zabawa, A Kicherer, L Klingbeil, R Töpfer, H Kuhlmann, R Roscher
ISPRS Journal of Photogrammetry and Remote Sensing 164, 73-83, 2020
Detection of single grapevine berries in images using fully convolutional neural networks
L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Topfer, H Kuhlmann, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Behind the leaves: Estimation of occluded grapevine berries with conditional generative adversarial networks
J Kierdorf, I Weber, A Kicherer, L Zabawa, L Drees, R Roscher
Frontiers in Artificial Intelligence 5, 2022
Image-based analysis of yield parameters in viticulture
L Zabawa, A Kicherer, L Klingbeil, R Töpfer, R Roscher, H Kuhlmann
Biosystems Engineering 218, 94-109, 2022
Transfer learning from synthetic in-vitro soybean pods dataset for in-situ segmentation of on-branch soybean pods
S Yang, L Zheng, X Chen, L Zabawa, M Zhang, M Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Automatic differentiation of damaged and unharmed grapes using rgb images and convolutional neural networks
J Bömer, L Zabawa, P Sieren, A Kicherer, L Klingbeil, U Rascher, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
Detection of Anomalous Grapevine Berries Using Variational Autoencoders
M Miranda, L Zabawa, A Kicherer, L Strothmann, U Rascher, R Roscher
Frontiers in Plant Science 13, 2022
Detection and counting of wheat ears by means of ground-based image acquisition.
J Kierdorf, L Zabawa, L Lucks, L Klingbeil, H Kuhlmann
Bornimer Agrartechnische Berichte, 158-167, 2019
Development of multilevel monitoring systems for the identification of phytoplasma diseases in German viticultural areas
B Jarausch, E Alisaac, P Schumacher, P Gauweiler, R Gruna, L Zabawa, ...
Phytopathogenic Mollicutes 13 (1), 133-134, 2023
IPAS: Neue Anbausysteme für einen nachhaltigen Weinbau (NoViSys), Teilprojekt H: Veröffentlichung der Ergebnisse von Forschungsvorhaben im BMBF-Programm: Projektlaufzeit: 01.02 …
H Kuhlmann, L Klingbeil, L Zabawa
Rheinische Friedrich-Wilhelms-Universität Bonn, 2020
Detection of grapevine in images using fully convolutional Neural Nets.
L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Roscher, R Töpfer, ...
Bornimer Agrartechnische Berichte, 15-20, 2019
Automated Surface Area Estimation of Plants based on 3D Point Clouds
L Zabawa, L Zabawa, F Esser, L Klingbeil, H Kuhlmann
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–12