Anne-Katrin Mahlein

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Coauteurs

Dehne, H.-W.Prof. of Plant Pathology, University of BonnAdresse e-mail validée de uni-bonn.de
Matheus Thomas KuskaNorth Rhine-Westphalia Chamber of AgricultureAdresse e-mail validée de uni-bonn.de
Stefan PaulusInstitute of Sugar Beet ResearchAdresse e-mail validée de ifz-goettingen.de
Lutz PlümerProfessor für Geoinformation, Universität BonnAdresse e-mail validée de igg.uni-bonn.de
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISAdresse e-mail validée de cs.tu-darmstadt.de
Mirwaes WahabzadaBASF Digital Farming GmbHAdresse e-mail validée de basf.com
Heiner KuhlmannProfessor of Geodesy, University of BonnAdresse e-mail validée de uni-bonn.de
Elias AlisaacJulius Kühn-InstitutAdresse e-mail validée de julius-kuehn.de
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAISAdresse e-mail validée de bit.uni-bonn.de
Uwe RascherProfessor of Quantitative Crop PhysiologyAdresse e-mail validée de fz-juelich.de
Mark Varrelmann, Prof. for Plant Virolo...University of Götttingen, Inst. of Sugar Beet ResearchAdresse e-mail validée de ifz-goettingen.de
Patrick SchramowskiTU DarmstadtAdresse e-mail validée de cs.tu-darmstadt.de
Pascal WelkeUniversity of BonnAdresse e-mail validée de uni-bonn.de
Jayme Garcia Arnal BarbedoResearcher, Empresa Brasileira de Pesquisa Agropecuária (Embrapa)Adresse e-mail validée de embrapa.br
Clive BockUSDA-ARSAdresse e-mail validée de usda.gov
Emerson Del PonteProfessorAdresse e-mail validée de ufv.br
Stefano TesoAssistant Professor, University of TrentoAdresse e-mail validée de unitn.it
Wolfgang StammerTechnical University DarmstadtAdresse e-mail validée de cs.tu-darmstadt.de
Achim WalterProfessor of Crop Science, ETH ZürichAdresse e-mail validée de usys.ethz.ch
Gerrit PolderResearcher Image Analysis, Wageningen UniversityAdresse e-mail validée de wur.nl

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Anne-Katrin Mahlein

Institute of Sugar Beet Reserach, Göttingen

Adresse e-mail validée de ifz-goettingen.de - Page d'accueil

plant diseases plant protection optical sensors plant phenotyping sugar beet


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	735	2010
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	687	2016
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	466	2012
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	430	2013
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), 1-13, 2012	289	2012
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	247	2014
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	229	2015
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	218	2010
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	191	2013
Hyperspectral sensors and imaging technologies in phytopathology: state of the art AK Mahlein, MT Kuska, J Behmann, G Polder, A Walter Annual review of phytopathology 56, 535-558, 2018	158	2018
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), 1-15, 2015	152	2015
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective S Thomas, MT Kuska, D Bohnenkamp, A Brugger, E Alisaac, ... Journal of Plant Diseases and Protection 125 (1), 5-20, 2018	147	2018
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	125	2011
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 (1), 1-11, 2016	116	2016
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	113	2015
Specim IQ: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection J Behmann, K Acebron, D Emin, S Bennertz, S Matsubara, S Thomas, ... Sensors 18 (2), 441, 2018	102	2018
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	100	2014
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	86	2012
Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform S Thomas, J Behmann, A Steier, T Kraska, O Muller, U Rascher, ... Plant methods 14 (1), 1-12, 2018	82	2018
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	79	2015

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