Udo Seiffert

Steinbeis Foundation — Germany

Computer Science · Physical Sciences

24h-index1.8kcitations145works3.32yr avg
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Research Topics

Neural Networks and Applications(47), Spectroscopy and Chemometric Analyses(31), Cell Image Analysis Techniques(16), Gene expression and cancer classification(15), Remote-Sensing Image Classification(14)

Publications145 total

Hyperspectral measurements of Cannabis sativa fan leaves during early floral development predict final cannabinoid yield
Industrial Crops and Products·2025Open Access
Machine Learning on Smartphone-Captured Diffraction Data
2025Open Access
VR Based Visualization and Exploration of Plant Biological Data
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)·2024· 10 citedOpen Access
Non‐invasive assessment of cultivar and sex of <i>Cannabis sativa</i> L. by means of hyperspectral measurement
Plant-Environment Interactions·2023· 3 citedOpen Access
Investigating intensity and transversal drift in hyperspectral imaging data
Neurocomputing·2022· 3 cited
Federated learning vector quantization for dealing with drift between nodes
2022Open Access
From hyperspectral to multispectral sensing – from simulation to reality: A comprehensive approach for calibration model transfer
2022· 1 citedOpen Access
Dynamics and genetic regulation of leaf nutrient concentration in barley based on hyperspectral imaging and machine learning
Plant Science·2021· 36 citedOpen Access
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding
Remote Sensing·2021· 48 citedOpen Access
Genome-wide association study reveals the genetic complexity of fructan accumulation patterns in barley grain
Journal of Experimental Botany·2021· 24 citedOpen Access
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data
ESANN 2021 proceedings·2021· 3 citedOpen Access
Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging
Remote Sensing·2020· 39 citedOpen Access
Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards
Plant Methods·2020· 43 citedOpen Access
GWAS reveals the genetic complexity of fructan accumulation patterns in barley grain
2020· 1 citedOpen Access
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging
Remote Sensing·2020· 47 citedOpen Access
Evaluating the Suitability of Hyper- and Multispectral Imaging to Detect Foliar Symptoms of the Grapevine Trunk Disease Esca in Vineyards
2020· 2 citedOpen Access
‘Macrobot’–an automated segmentation-based system for powdery mildew disease quantification
2020· 9 citedOpen Access
Phenotyping and Genotyping of Plants
2020
“Macrobot”: An Automated Segmentation-Based System for Powdery Mildew Disease Quantification
Plant Phenomics·2020· 33 citedOpen Access
Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers
Remote Sensing·2019· 56 citedOpen Access
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Frequent Co-authors

Andreas Backhaus(14), Thomas Villmann(7), Hans‐Peter Mock(6), Andrea Matros(6), Hans-Christian Klück(6), Marc Strickert(6), Klaus Pillen(5), Friedrich Melchert(5), Nese Sreenivasulu(4), Winfriede Weschke(4), Anna Kicherer(4), Nele Bendel(4), Reinhard Töpfer(4), Andreas Maurer(4), Patrick Schweizer(4), Frank-Michael Schleif(4), Michael Biehl(4), Uwe Knauer(3), David Kilias(3), Ralf T. Voegele(3)