Stefan Paulus
Stefan Paulus
Imaging Specialist - Institut of Sugar Beet Research
Bestätigte E-Mail-Adresse bei ifz-goettingen.de
Titel
Zitiert von
Zitiert von
Jahr
Low-cost 3D systems: suitable tools for plant phenotyping
S Paulus, J Behmann, AK Mahlein, L Plümer, H Kuhlmann
Sensors 14 (2), 3001-3018, 2014
2092014
Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping
S Paulus, J Dupuis, AK Mahlein, H Kuhlmann
BMC bioinformatics 14 (1), 1-12, 2013
1602013
High-precision laser scanning system for capturing 3D plant architecture and analysing growth of cereal plants
S Paulus, H Schumann, H Kuhlmann, J Léon
Biosystems Engineering 121, 1-11, 2014
1542014
Accuracy analysis of a multi-view stereo approach for phenotyping of tomato plants at the organ level
JC Rose, S Paulus, H Kuhlmann
Sensors 15 (5), 9651-9665, 2015
762015
Fusion of sensor data for the detection and differentiation of plant diseases in cucumber
CA Berdugo, R Zito, S Paulus, AK Mahlein
Plant pathology 63 (6), 1344-1356, 2014
732014
Automated analysis of barley organs using 3D laser scanning: An approach for high throughput phenotyping
S Paulus, J Dupuis, S Riedel, H Kuhlmann
Sensors 14 (7), 12670-12686, 2014
702014
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation
M Wahabzada, S Paulus, K Kersting, AK Mahlein
BMC bioinformatics 16 (1), 1-11, 2015
612015
Generation and application of hyperspectral 3D plant models: methods and challenges
J Behmann, AK Mahlein, S Paulus, J Dupuis, H Kuhlmann, EC Oerke, ...
Machine Vision and Applications 27 (5), 611-624, 2016
552016
Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping
J Behmann, AK Mahlein, S Paulus, H Kuhlmann, EC Oerke, L Plümer
ISPRS Journal of Photogrammetry and Remote Sensing 106, 172-182, 2015
492015
Measuring crops in 3D: using geometry for plant phenotyping
S Paulus
Plant Methods 15 (1), 1-13, 2019
292019
Limits of active laser triangulation as an instrument for high precision plant imaging
S Paulus, T Eichert, HE Goldbach, H Kuhlmann
Sensors 14 (2), 2489-2509, 2014
272014
A multi-resolution approach for an automated fusion of different low-cost 3D sensors
J Dupuis, S Paulus, J Behmann, L Plümer, H Kuhlmann
Sensors 14 (4), 7563-7579, 2014
172014
Evaluation of different fungicides and nitrogen rates on grain yield and bread-making quality in wheat affected by Septoria tritici blotch and yellow spot
AC Castro, MC Fleitas, M Schierenbeck, GS Gerard, MR Simón
Journal of cereal science 83, 49-57, 2018
132018
Spatial referencing of hyperspectral images for tracing of plant disease symptoms
J Behmann, D Bohnenkamp, S Paulus, AK Mahlein
Journal of Imaging 4 (12), 143, 2018
112018
Generation and application of hyperspectral 3D plant models
J Behmann, AK Mahlein, S Paulus, H Kuhlmann, EC Oerke, L Plümer
European Conference on Computer Vision, 117-130, 2014
102014
Extending hyperspectral imaging for plant phenotyping to the UV-range
A Brugger, J Behmann, S Paulus, HG Luigs, MT Kuska, P Schramowski, ...
Remote Sensing 11 (12), 1401, 2019
92019
The impact of different leaf surface tissues on active 3D laser triangulation measurements
J Dupuis, S Paulus, AK Mahlein, T Eichert
PFG Photogrammetrie, Fernerkundung, Geoinformation, 437-447, 2015
62015
Flächenhafte Deformationsanalysen mit terrestrischen und Nahbereichslaserscannern-eine Gegenüberstellung anhand von Beispielen
C Holst, J Dupuis, S Paulus, H Kuhlmann
Allgem. Verm. Nachr 7, 2014
62014
Hyperspectral imaging of symptoms induced by Rhizoctonia solani in sugar beet: comparison of input data and different machine learning algorithms
A Barreto, S Paulus, M Varrelmann, AK Mahlein
Journal of Plant Diseases and Protection 127 (4), 441-451, 2020
32020
Automatische Parameterextraktion aus hochauflösenden Laserscans–eine wichtiger Schritt bei der Phänotypisierung
S Paulus, J Dupuis, H Schumann, H Kuhlmann
Bornimer Agrartechnische Berichte 81, 241-249, 2013
32013
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