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Frontiers in Artificial Intelligence|April 11, 2022
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial NetworksJana Kierdorf, Immanuel Weber, Anna Kicherer, et al.Frontiers in Plant Science|June 20, 2022
Detection of Anomalous Grapevine Berries Using Variational AutoencodersMiro Miranda, Laura Zabawa, Anna Kicherer, et al.Sensors (Basel, Switzerland)|December 17, 2016
Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field ConditionsJohann Christian Rose, Anna Kicherer, Markus Wieland, et al.Sensors (Basel, Switzerland)|March 3, 2015
An automated field phenotyping pipeline for application in grapevine researchAnna Kicherer, Katja Herzog, Michael Pflanz, et al.Frontiers in Plant Science|July 22, 2024
Non-destructive quantification of key quality characteristics in individual grapevine berries using near-infrared spectroscopyLucie Cornehl, Pascal Gauweiler, Xiaorong Zheng, et al.Sensors (Basel, Switzerland)|June 10, 2023
Determination of Sugars and Acids in Grape Must Using Miniaturized Near-Infrared SpectroscopyLucie Cornehl, Julius Krause, Xiaorong Zheng, et al.Plant Methods|October 26, 2020
Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyardsNele Bendel, Anna Kicherer, Andreas Backhaus, et al.BMC Plant Biology|July 8, 2021
Transcriptomic analysis of temporal shifts in berry development between two grapevine cultivars of the Pinot family reveals potential genes controlling ripening timeJens Theine, Daniela Holtgräwe, Katja Herzog, et al.Sensors (Basel, Switzerland)|July 2, 2021
SmartSpectrometer-Embedded Optical Spectroscopy for Applications in Agriculture and IndustryJulius Krause, Heinrich Grüger, Lucie Gebauer, et al.Frontiers in Plant Science|April 6, 2026
Hyperspectral differentiation of three grapevine yellows diseases and symptomatically similar stressesElias Alisaac, Xiaorong Zheng, Benedikt Fischer, et al.Pageof 2