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Anna Kicherer

cs.CVfield phenotypingcs.LGdeep learningmachine learningNIRSprecision viticulturequalityviticultureVitis

On Valency

published · living versions
W_35ndxnme·v1 · currentpublished

Preprints & journals

16 papers in the corpus · 2015–2026
Hyperspectral differentiation of three grapevine yellows diseases and symptomatically similar stresses.41937759 · Alisaac, Elias, Zheng, Xiaorong, Fischer, Benedikt et al.2026 · 0 citationsFrontiers in plant science. 2026;17:1794713
Non-destructive quantification of key quality characteristics in individual grapevine berries using near-infrared spectroscopy.39036356 · Cornehl, Lucie, Gauweiler, Pascal, Zheng, Xiaorong et al.2026 · 4 citationsFrontiers in plant science. 2024;15:1386951
Determination of Sugars and Acids in Grape Must Using Miniaturized Near-Infrared Spectroscopy.37300013 · Cornehl, Lucie, Krause, Julius, Zheng, Xiaorong et al.2023 · 13 citationsSensors (Basel, Switzerland). 2023;23(11)
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction2304.07111v1 · Florian Huber, Hannes Engler, Anna Kicherer et al.2023 · 6 citationsarXiv
Detection of Anomalous Grapevine Berries Using Variational Autoencoders.35720600 · Miranda, Miro, Zabawa, Laura, Kicherer, Anna et al.2022 · 18 citationsFrontiers in plant science. 2022;13:729097
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks.35402903 · Kierdorf, Jana, Weber, Immanuel, Kicherer, Anna et al.2023 · 50 citationsFrontiers in artificial intelligence. 2022;5:830026
SmartSpectrometer-Embedded Optical Spectroscopy for Applications in Agriculture and Industry.34208883 · Krause, Julius, Grüger, Heinrich, Gebauer, Lucie et al.2021 · 22 citationsSensors (Basel, Switzerland). 2021;21(13)
Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards.33101451 · Bendel, Nele, Kicherer, Anna, Backhaus, Andreas et al.2022 · 43 citationsPlant methods. 2020;16:142
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks2004.14010v1 · Laura Zabawa, Anna Kicherer, Lasse Klingbeil et al.2020 · 123 citationsJournal of Photogrammetry and Remote Sensing, vol. 164, pp.73-83,2020
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks1905.00458v1 · Laura Zabawa, Anna Kicherer, Lasse Klingbeil et al.2019 · 51 citationsCVPR Workshop on Computer Vision Problems in Plant Phenotyping, 2019
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks1811.09561v2 · Jonatan Grimm, Katja Herzog, Florian Rist et al.2018 · 6 citationsarXiv
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields1712.05647v1 · Ribana Roscher, Katja Herzog, Annemarie Kunkel et al.2017 · 91 citationsComputers and Electronics in Agriculture 100 (2014), 148--158on Valency
Phenoliner: A New Field Phenotyping Platform for Grapevine Research.28708080 · Kicherer, Anna, Herzog, Katja, Bendel, Nele et al.2018 · 68 citationsSensors (Basel, Switzerland). 2017;17(7)
Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field Conditions.27983669 · Rose, Johann Christian, Kicherer, Anna, Wieland, Markus et al.2018 · 73 citationsSensors (Basel, Switzerland). 2016;16(12)
An automated field phenotyping pipeline for application in grapevine research.25730485 · Kicherer, Anna, Herzog, Katja, Pflanz, Michael et al.2015 · 61 citationsSensors (Basel, Switzerland). 2015;15(3):4823-36
Career total: 105 works. 16 are in this corpus.

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