Anna Kicherer

Orcid: 0000-0002-6442-3219

According to our database1, Anna Kicherer authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Determination of Sugars and Acids in Grape Must Using Miniaturized Near-Infrared Spectroscopy.
Sensors, 2023

Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction.
Proceedings of the Intelligent Systems and Applications, 2023

2022
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks.
Frontiers Artif. Intell., 2022

2021
SmartSpectrometer - Embedded Optical Spectroscopy for Applications in Agriculture and Industry.
Sensors, 2021

2020
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging.
Remote. Sens., 2020

Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging.
Remote. Sens., 2020

Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks.
CoRR, 2020

Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks.
CoRR, 2018

2017
Phenoliner: A New Field Phenotyping Platform for Grapevine Research.
Sensors, 2017

Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields.
CoRR, 2017

2016
Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field Conditions.
Sensors, 2016

2015
An Automated Field Phenotyping Pipeline for Application in Grapevine Research.
Sensors, 2015


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