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Disambiguation of "Herzog, Katja"

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Phenoliner: A New Field Phenotyping Platform for Grapevine Research.

, , , , , , , , , , , , , and . Sensors, 17 (7): 1625 (2017)

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Dr. rer. nat. Katja Löffler University of Stuttgart

Benjamin Herzog University of Stuttgart

Univ. -Prof. Dr. rer. pol. Katja Schimmelpfeng University of Stuttgart

Katja Drerup University of Stuttgart

Katja Heere University of Stuttgart

 

Other publications of authors with the same name

Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks., , , , , and . CoRR, (2018)An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks., , , , , and . CoRR, (2018)Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks., , , and . CoRR, (2018)Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches., , , , , and . Remote Sensing, 11 (24): 2953 (2019)Phenoliner: A New Field Phenotyping Platform for Grapevine Research., , , , , , , , , and 4 other author(s). Sensors, 17 (7): 1625 (2017)Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping., , , , , and . CoRR, (2018)Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor., , , , , and . Comput. Electron. Agric., (2018)Field phenotyping of grapevine growth using dense stereo reconstruction., , , and . BMC Bioinformatics, (2015)Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields., , , , , and . CoRR, (2017)Impedance of the Grape Berry Cuticle as a Novel Phenotypic Trait to Estimate Resistance to Botrytis Cinerea., , and . Sensors, 15 (6): 12498-12512 (2015)