| Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields R Roscher, K Herzog, A Kunkel, A Kicherer, R Töpfer, W Förstner Computers and Electronics in Agriculture 100, 148-158, 2014 | 118 | 2014 |
| Hyperspectral phenotyping of the reaction of grapevine genotypes to Plasmopara viticola EC Oerke, K Herzog, R Toepfer Journal of Experimental Botany 67 (18), 5529-5543, 2016 | 96 | 2016 |
| An automated field phenotyping pipeline for application in grapevine research A Kicherer, K Herzog, M Pflanz, M Wieland, P Rüger, S Kecke, ... Sensors 15 (3), 4823-4836, 2015 | 80 | 2015 |
| Field phenotyping of grapevine growth using dense stereo reconstruction M Klodt, K Herzog, R Töpfer, D Cremers BMC bioinformatics 16, 1-11, 2015 | 70 | 2015 |
| Impedance of the Grape Berry Cuticle as a Novel Phenotypic Trait to Estimate Resistance to Botrytis Cinerea K Herzog, R Wind, R Töpfer Sensors 15 (6), 12498-12512, 2015 | 67 | 2015 |
| High-precision phenotyping of grape bunch architecture using fast 3D sensor and automation F Rist, K Herzog, J Mack, R Richter, V Steinhage, R Töpfer Sensors 18 (3), 763, 2018 | 61 | 2018 |
| Phenoliner: a new field phenotyping platform for grapevine research A Kicherer, K Herzog, N Bendel, HC Klück, A Backhaus, M Wieland, ... Sensors 17 (7), 1625, 2017 | 60 | 2017 |
| An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding J Grimm, K Herzog, F Rist, A Kicherer, R Toepfer, V Steinhage Biosystems Engineering 183, 170-183, 2019 | 52 | 2019 |
| BAT (Berry Analysis Tool): A high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries A Kicherer, R Roscher, K Herzog, S Šimon, W Förstner, R Töpfer Vitis 52 (3), 129-135, 2013 | 49 | 2013 |
| Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks R Rudolph, K Herzog, R Töpfer, V Steinhage Vitis 58 (3), 95-104, 2019 | 46 | 2019 |
| Initial steps for high-throughput phenotyping in vineyards K Herzog Australian and New Zealand Grapegrower and Winemaker, 54-59, 2014 | 41 | 2014 |
| Heat-shock-mediated elimination of the nptII marker gene in transgenic apple (Malus× domestica Borkh.) K Herzog, H Flachowsky, HB Deising, MV Hanke Gene 498 (1), 41-49, 2012 | 41 | 2012 |
| Automatic image‐based determination of pruning mass as a determinant for yield potential in grapevine management and breeding A Kicherer, M Klodt, S Sharifzadeh, D Cremers, R Töpfer, K Herzog Australian Journal of Grape and Wine Research 23 (1), 120-124, 2017 | 34 | 2017 |
| Effects of canopy architecture and microclimate on grapevine health in two training systems C Kraus, T Pennington, K Herzog, A Hecht, M Fischer, RT Voegele, ... Vitis 57 (2), 53-60, 2018 | 32 | 2018 |
| Automatic flower number evaluation in grapevine inflorescences using RGB images J Tello, K Herzog, F Rist, P This, A Doligez American Journal of Enology and Viticulture 71 (1), 10-16, 2020 | 19 | 2020 |
| Combination of an automated 3D field phenotyping workflow and predictive modelling for high-throughput and non-invasive phenotyping of grape bunches F Rist, D Gabriel, J Mack, V Steinhage, R Töpfer, K Herzog Remote Sensing 11 (24), 2953, 2019 | 19 | 2019 |
| Image based evaluation for the detection of cluster parameters in grapevine A Kicherer, R Roscher, K Herzog, W Förstner, R Töpfer XI International Conference on Grapevine Breeding and Genetics 1082, 335-340, 2014 | 19 | 2014 |
| Automated phenotyping of epicuticular waxes of grapevine berries using light separation and convolutional neural networks P Barré, K Herzog, R Höfle, MB Hullin, R Töpfer, V Steinhage Computers and electronics in agriculture 156, 263-274, 2019 | 18 | 2019 |
| Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot K Herzog, F Schwander, HH Kassemeyer, E Bieler, M Dürrenberger, ... Frontiers in Plant Science 12, 808365, 2022 | 15 | 2022 |
| Transcriptomic analysis of temporal shifts in berry development between two grapevine cultivars of the Pinot family reveals potential genes controlling ripening time J Theine, D Holtgräwe, K Herzog, F Schwander, A Kicherer, L Hausmann, ... BMC Plant Biology 21, 1-19, 2021 | 15 | 2021 |
