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J. Behmann · SciRah

Researcher profile · Semantic Scholar

J. Behmann

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J. Behmann — researcher profile on SciRah

h-index: 23
Works: 41
Citations: 2,960

Most-cited papers

A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
J. Behmann, A. Mahlein, Till Rumpf, Christoph Römer +1 more
2015Precision Agriculture343 citations
Semantic Scholar
Detection of early plant stress responses in hyperspectral images
J. Behmann, Jörg Steinrücken, L. Plümer
2014312 citations
Semantic Scholar
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
Stefan Thomas, M. Kuska, David Bohnenkamp, Anna Brugger +4 more
2018310 citations
Semantic Scholar
Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art.
A. Mahlein, M. Kuska, J. Behmann, G. Polder +1 more
2018Annual Review of Phytopathology301 citations Open access
Semantic Scholar
Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping
Stefan Paulus, J. Behmann, A. Mahlein, L. Plümer +1 more
2014Italian National Conference on Sensors248 citations Open access
Semantic Scholar
Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection
J. Behmann, Kelvin Acebron, D. Emin, S. Bennertz +8 more
2018Italian National Conference on Sensors220 citations Open access
Semantic Scholar
Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis.
Christoph Römer, Mirwaes Wahabzada, A. Ballvora, F. Pinto +9 more
2012Functional Plant Biology154 citations Open access
Semantic Scholar
Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale
A. Mahlein, E. Alisaac, A. Al Masri, J. Behmann +2 more
2019Italian National Conference on Sensors128 citations Open access
Semantic Scholar
Generation and application of hyperspectral 3D plant models: methods and challenges
J. Behmann, A. Mahlein, Stefan Paulus, Jan Dupuis +3 more
2016Machine Vision and Applications99 citations
Semantic Scholar
Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!
A. Mahlein, M. Kuska, Stefan Thomas, Mirwaes Wahabzada +3 more
2019Current opinion in plant biology94 citations
Semantic Scholar
Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform
Stefan Thomas, J. Behmann, A. Steier, T. Kraska +3 more
2018Plant Methods83 citations Open access
Semantic Scholar
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale
David Bohnenkamp, J. Behmann, A. Mahlein
2019Remote Sensing81 citations Open access
Semantic Scholar
Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping
J. Behmann, A. Mahlein, Stefan Paulus, H. Kuhlmann +2 more
201574 citations
Semantic Scholar
Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species
E. Alisaac, J. Behmann, M. Kuska, H. Dehne +1 more
2018European journal of plant pathology68 citations
Semantic Scholar
Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging
E. Alisaac, J. Behmann, Anna Rathgeb, P. Karlovsky +2 more
2019Toxins62 citations Open access
Semantic Scholar
Hyperspectral signal decomposition and symptom detection of wheat rust disease at the leaf scale using pure fungal spore spectra as reference
David Bohnenkamp, M. Kuska, A. Mahlein, J. Behmann
2019Plant Pathology41 citations
Semantic Scholar
Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks
Alina Förster, Jens Behley, J. Behmann, R. Roscher
2019IEEE International Geoscience and Remote Sensing Symposium35 citations
Semantic Scholar
Potential of hyperspectral imaging to detect and identify the impact of chemical warfare compounds on plant tissue
M. Kuska, J. Behmann, A. Mahlein
2018Pure and Applied Chemistry35 citations Open access
Semantic Scholar
Plant disease detection by hyperspectral imaging: from the lab to the field
A. Mahlein, M. Kuska, Stefan Thomas, David Bohnenkamp +4 more
201734 citations
Semantic Scholar
DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS
R. Roscher, J. Behmann, A. Mahlein, Jan Dupuis +2 more
201632 citations Open access
Semantic Scholar
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range
Anna Brugger, J. Behmann, Stefan Paulus, Hans-Georg Luigs +5 more
2019Remote Sensing29 citations Open access
Semantic Scholar
A Hyperspectral Library of Foliar Diseases of Wheat.
David Bohnenkamp, J. Behmann, Stefan Paulus, U. Steiner +1 more
2021Phytopathology23 citations Open access
Semantic Scholar
Screening of Barley Resistance Against Powdery Mildew by Simultaneous High-Throughput Enzyme Activity Signature Profiling and Multispectral Imaging
M. Kuska, J. Behmann, D. Grosskinsky, T. Roitsch +1 more
2018Frontiers in Plant Science23 citations Open access
Semantic Scholar
Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms
J. Behmann, David Bohnenkamp, Stefan Paulus, A. Mahlein
2018Journal of Imaging22 citations Open access
Semantic Scholar
Using Hyperspectral Imaging and Principal Component Analysis to Detect and Monitor Water Stress in Ornamental Plants
Van Patiluna, J. Owen, J. Maja, Jyoti Neupane +6 more
2025Remote Sensing20 citations Open access
Semantic Scholar
ORDINAL CLASSIFICATION FOR EFFICIENT PLANT STRESS PREDICTION IN HYPERSPECTRAL DATA
J. Behmann, P. Schmitter, Jörg Steinrücken, L. Plümer
201420 citations Open access
Semantic Scholar
A Multi-Resolution Approach for an Automated Fusion of Different Low-Cost 3D Sensors
Jan Dupuis, Stefan Paulus, J. Behmann, L. Plümer +1 more
2014Italian National Conference on Sensors14 citations Open access
Semantic Scholar
Discovering coherency of specific gene expression and optical reflectance properties of barley genotypes differing for resistance reactions against powdery mildew
M. Kuska, J. Behmann, M. Namini, E. Oerke +2 more
2019PLoS ONE12 citations Open access
Semantic Scholar
Generation and Application of Hyperspectral 3D Plant Models
J. Behmann, A. Mahlein, Stefan Paulus, H. Kuhlmann +2 more
2014ECCV Workshops12 citations Open access
Semantic Scholar
Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors
J. Behmann, Kathrin Hendriksen, U. Müller, W. Büscher +1 more
2016GeoInformatica11 citations Open access
Semantic Scholar
A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
J. Behmann, A. Mahlein, Till Rumpf, Christoph Römer +1 more
2014Precision Agriculture9 citations
Semantic Scholar
Quantifying moisture and roughness with Support Vector Machines improves spectroscopic soil organic carbon prediction
Christoph Römer, A. Rodionov, J. Behmann, S. Pätzold +2 more
20147 citations
Semantic Scholar
Evaluation of the benefits of combined reflection and transmission hyperspectral imaging data through disease detection and quantification in plant–pathogen interactions
Stefan Thomas, J. Behmann, U. Rascher, A. Mahlein
2022Journal of plant diseases and protection6 citations
Semantic Scholar
IMPROVING GPS TRAJECTORIES USING 3D CITY MODELS AND KINEMATIC POINT CLOUDS
Y. Dehbi, L. Lucks, J. Behmann, L. Klingbeil +1 more
2019ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences5 citations Open access
Semantic Scholar
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models
R. Roscher, J. Behmann, A. Mahlein, L. Plümer
2016Workshop on Hyperspectral Image and Signal Processing2 citations
Semantic Scholar
Acting Correctly During Cardiac Arrest: Why Immediate Resuscitation Is So Important
J. Behmann, B. Böttiger
20260 citations
Semantic Scholar
Image-based assessment of hyperspectral reflectance characteristics of plants in the field: Lessons Learned
J. Behmann, David Bohnenkamp, A. Mahlein
2019Precision Agriculture0 citations
Semantic Scholar
Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species
E. Alisaac, J. Behmann, M. Kuska, H. Dehne +1 more
2018European journal of plant pathology0 citations
Semantic Scholar
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
Stefan Thomas, M. Kuska, David Bohnenkamp, Anna Brugger +4 more
2017Journal of plant diseases and protection0 citations
Semantic Scholar
Generation and application of hyperspectral 3D plant models: methods and challenges
J. Behmann, A. Mahlein, Stefan Paulus, Jan Dupuis +3 more
2015Machine Vision and Applications0 citations
Semantic Scholar
Recognition of Activity States in Dairy Cows with SVMs and Graphical Models
J. Behmann, Kathrin Hendriksen, U. Müller, Sebastian Walzog +2 more
2014GIL Jahrestagung0 citations
Semantic Scholar

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