Jana Kierdorf
Jana Kierdorf
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Zitiert von
Zitiert von
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, 830026, 2022
Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks
L Drees, LV Junker-Frohn, J Kierdorf, R Roscher
Computers and Electronics in Agriculture 190, 106415, 2021
GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER
J Kierdorf, LV Junker‐Frohn, M Delaney, MD Olave, A Burkart, H Jaenicke, ...
Journal of Field Robotics 40 (2), 173-192, 2023
Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision
M Günder, FR Ispizua Yamati, J Kierdorf, R Roscher, AK Mahlein, ...
GigaScience 11, giac054, 2022
What identifies a whale by its fluke? On the benefit of interpretable machine learning for whale identification
J Kierdorf, J Garcke, J Behley, T Cheeseman, R Roscher
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
A whale’s tail-finding the right whale in an uncertain world
D Marcos, J Kierdorf, T Cheeseman, D Tuia, R Roscher
International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020
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
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower
J Kierdorf, R Roscher
arXiv preprint arXiv:2305.15149, 2023
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances
N Penzel, J Kierdorf, R Roscher, J Denzler
Proceedings of the IEEE/CVF International Conference on Computer Vision, 572-581, 2023
Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods
M Farag, J Kierdorf, R Roscher
Proceedings of the IEEE/CVF International Conference on Computer Vision, 651-659, 2023
OPTIKO–Optimierung des Blumenkohlanbaus
L Junker-Frohn, A Burkart, M Delaney, R Roscher, H Jaenicke, U Rascher, ...
Ideenfutter Expo, foodhub. NRW, 2020
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