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Katja Herzog
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2020 – today
- 2023
- [j9]Romain David
, Audrey S. Richard
Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness. Data Sci. J. 22: 35 (2023) - [c1]Florian Huber, Hannes Engler, Anna Kicherer, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction. IntelliSys (3) 2023: 210-228 - [i6]Florian Huber
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction. CoRR abs/2304.07111 (2023)
2010 – 2019
- 2019
- [j8]Pierre Barré, Katja Herzog, Rebecca Höfle, Matthias B. Hullin, Reinhard Töpfer
Automated phenotyping of epicuticular waxes of grapevine berries using light separation and convolutional neural networks. Comput. Electron. Agric. 156: 263-274 (2019) - [j7]Florian Rist, Doreen Gabriel
Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches. Remote. Sens. 11(24): 2953 (2019) - 2018
- [j6]Jennifer Mack
Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor. Comput. Electron. Agric. 155: 96-102 (2018) - [j5]Florian Rist, Katja Herzog, Jenny Mack
High-Precision Phenotyping of Grape Bunch Architecture Using Fast 3D Sensor and Automation. Sensors 18(3): 763 (2018) - [i5]Bernhard Japes, Jennifer Mack, Florian Rist, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping. CoRR abs/1805.03994 (2018) - [i4]Robert Rudolph, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks. CoRR abs/1807.03770 (2018) - [i3]Pierre Barré, Katja Herzog, Rebecca Höfle, Matthias B. Hullin, Reinhard Töpfer, Volker Steinhage:
Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks. CoRR abs/1807.07343 (2018) - [i2]Jonatan Grimm, Katja Herzog, Florian Rist, Anna Kicherer, Reinhard Töpfer, Volker Steinhage:
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks. CoRR abs/1811.09561 (2018) - 2017
- [j4]Anna Kicherer, Katja Herzog, Nele Bendel, Hans-Christian Klück
Phenoliner: A New Field Phenotyping Platform for Grapevine Research. Sensors 17(7): 1625 (2017) - [i1]Ribana Roscher, Katja Herzog, Annemarie Kunkel, Anna Kicherer, Reinhard Töpfer, Wolfgang Förstner:
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields. CoRR abs/1712.05647 (2017) - 2015
- [j3]Maria Klodt, Katja Herzog, Reinhard Töpfer, Daniel Cremers
Field phenotyping of grapevine growth using dense stereo reconstruction. BMC Bioinform. 16: 143:1-143:11 (2015) - [j2]Anna Kicherer, Katja Herzog, Michael Pflanz, Markus Wieland, Philipp Rüger, Steffen Kecke
An Automated Field Phenotyping Pipeline for Application in Grapevine Research. Sensors 15(3): 4823-4836 (2015) - [j1]Katja Herzog, Rolf Wind, Reinhard Töpfer:
Impedance of the Grape Berry Cuticle as a Novel Phenotypic Trait to Estimate Resistance to Botrytis Cinerea. Sensors 15(6): 12498-12512 (2015)
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