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Phenoliner: A New Field Phenotyping Platform for Grapevine Research.

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

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Sonja Kicherer

Heike Anna Brücker

Dirk Annacker

Martin Kicherer

Andreas Kicherer

 

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Behind the leaves - Estimation of occluded grapevine berries with conditional generative adversarial networks., , , , , и . CoRR, (2021)Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction., , , , , и . CoRR, (2023)Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks., , , , , , , , и . ECCV Workshops (6), том 12540 из Lecture Notes in Computer Science, стр. 347-359. Springer, (2020)An Automated Field Phenotyping Pipeline for Application in Grapevine Research., , , , , , , и . Sensors, 15 (3): 4823-4836 (2015)An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks., , , , , и . CoRR, (2018)Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks., , , , , и . CoRR, (2020)Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks., , , , , , и . CVPR Workshops, стр. 2571-2579. Computer Vision Foundation / IEEE, (2019)Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks., , , , , и . Frontiers Artif. Intell., (2022)Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging., , , , , , , , , и . Remote. Sens., 12 (10): 1693 (2020)Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging., , , , , , , , , и 1 other автор(ы). Remote. Sens., 12 (24): 4151 (2020)