Field phenotyping of grapevine growth using dense stereo reconstruction. - Maria Klodt; Katja Herzog; Reinhard Töpfer; Daniel Cremers (BMC Bioinform., 2015)

Impedance of the Grape Berry Cuticle as a Novel Phenotypic Trait to Estimate Resistance to Botrytis Cinerea. - Katja Herzog; Rolf Wind; Reinhard Töpfer (Sensors, 2015)

An Automated Field Phenotyping Pipeline for Application in Grapevine Research. - Anna Kicherer; Katja Herzog; Michael Pflanz; Markus Wieland; Philipp Rüger; Steffen Kecke; Heiner Kuhlmann; Reinhard Töpfer (Sensors, 2015)

Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields. - Ribana Roscher; Katja Herzog; Annemarie Kunkel; Anna Kicherer; Reinhard Töpfer; Wolfgang Förstner (CoRR, 2017)

Phenoliner: A New Field Phenotyping Platform for Grapevine Research. - Anna Kicherer; Katja Herzog; Nele Bendel; Hans-Christian Klück; Andreas Backhaus; Markus Wieland; Johann Christian Rose; Lasse Klingbeil; Thomas Läbe; Christian Hohl; Willi Petry; Heiner Kuhlmann; et al. (Sensors, 2017)

Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor. - Jennifer Mack; Frank Schindler; Florian Rist 002; Katja Herzog; Reinhard Töpfer; Volker Steinhage (Comput. Electron. Agric., 2018)

Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping. - Bernhard Japes; Jennifer Mack; Florian Rist 002; Katja Herzog; Reinhard Töpfer; Volker Steinhage (CoRR, 2018)

Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks. - Robert Rudolph; Katja Herzog; Reinhard Töpfer; Volker Steinhage (CoRR, 2018)

An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks. - Jonatan Grimm; Katja Herzog; Florian Rist 002; Anna Kicherer; Reinhard Töpfer; Volker Steinhage (CoRR, 2018)

High-Precision Phenotyping of Grape Bunch Architecture Using Fast 3D Sensor and Automation. - Florian Rist 002; Katja Herzog; Jenny Mack; Robert Richter; Volker Steinhage; Reinhard Töpfer (Sensors, 2018)

Automated phenotyping of epicuticular waxes of grapevine berries using light separation and convolutional neural networks. - Pierre Barré; Katja Herzog; Rebecca Höfle; Matthias B. Hullin; Reinhard Töpfer; Volker Steinhage (Comput. Electron. Agric., 2019)

Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches. - Florian Rist 002; Doreen Gabriel; Jennifer Mack; Volker Steinhage; Reinhard Töpfer; Katja Herzog (Remote. Sens., 2019)

Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction. - Florian Huber; Hannes Engler; Anna Kicherer; Katja Herzog; Reinhard Töpfer; Volker Steinhage (IntelliSys (3), 2023)

Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness. - Romain David 001; Audrey S. Richard; Claire Connellan; Katharina B. Lauer; Maria Luisa Chiusano; Carole A. Goble; Martin Houde; Isabel Kemmer; Antje Keppler; Philippe Lieutaud; Christian Ohmann; Maria Panagiotopoulou; et al. (Data Sci. J., 2023)