Anne-Katrin Mahlein
Anne-Katrin Mahlein
Institute of Sugar Beet Reserach, Göttingen
Bestätigte E-Mail-Adresse bei uni-bonn.de
TitelZitiert vonJahr
Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
T Rumpf, AK Mahlein, U Steiner, EC Oerke, HW Dehne, L Plümer
Computers and Electronics in Agriculture 74 (1), 91-99, 2010
3052010
Recent advances in sensing plant diseases for precision crop protection
AK Mahlein, EC Oerke, U Steiner, HW Dehne
European Journal of Plant Pathology 133 (1), 197-209, 2012
2072012
Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases
AK Mahlein, U Steiner, C Hillnhütter, HW Dehne, EC Oerke
Plant methods 8 (1), 3, 2012
1572012
Development of spectral indices for detecting and identifying plant diseases
AK Mahlein, T Rumpf, P Welke, HW Dehne, L Plümer, U Steiner, ...
Remote Sensing of Environment 128, 21-30, 2013
1472013
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
1322014
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), 238, 2013
1182013
Plant disease detection by imaging sensors–parallels and specific demands for precision agriculture and plant phenotyping
AK Mahlein
Plant Disease 100 (2), 241-251, 2016
1142016
Spectral signatures of sugar beet leaves for the detection and differentiation of diseases
AK Mahlein, U Steiner, HW Dehne, EC Oerke
Precision Agriculture 11 (4), 413-431, 2010
1082010
Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in sugar beet fields
C Hillnhütter, AK Mahlein, RA Sikora, EC Oerke
Field Crops Research 122 (1), 70-77, 2011
592011
Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions
M Kuska, M Wahabzada, M Leucker, HW Dehne, K Kersting, EC Oerke, ...
Plant Methods 11 (1), 28, 2015
552015
A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
J Behmann, AK Mahlein, T Rumpf, C Römer, L Plümer
Precision Agriculture 16 (3), 239-260, 2015
522015
Early detection and localisation of sugar beet diseases: new approaches
C Hillnhuetter, AK Mahlein
Gesunde Pflanzen 60 (4), 143-149, 2008
472008
Metro maps of plant disease dynamics—automated mining of differences using hyperspectral images
M Wahabzada, AK Mahlein, C Bauckhage, U Steiner, EC Oerke, ...
PLoS One 10 (1), e0116902, 2015
422015
Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale
C Hbirkou, S Pätzold, AK Mahlein, G Welp
Geoderma 175, 21-28, 2012
382012
Plant phenotyping using probabilistic topic models: uncovering the hyperspectral language of plants
M Wahabzada, AK Mahlein, C Bauckhage, U Steiner, EC Oerke, ...
Scientific reports 6, 22482, 2016
312016
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation
M Wahabzada, S Paulus, K Kersting, AK Mahlein
BMC bioinformatics 16 (1), 248, 2015
312015
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
292014
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
262016
Use of imaging spectroscopy to discriminate symptoms caused by Heterodera schachtii and Rhizoctonia solani on sugar beet
C Hillnhütter, AK Mahlein, RA Sikora, EC Oerke
Precision Agriculture 13 (1), 17-32, 2012
232012
Improvement of lesion phenotyping in Cercospora beticola–sugar beet interaction by hyperspectral imaging
M Leucker, AK Mahlein, U Steiner, EC Oerke
Phytopathology 106 (2), 177-184, 2015
202015
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