Hanno Scharr

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Ulrich SchurrForschungszentrum JülichE-mail confirmado em fz-juelich.de
Uwe RascherForschungszentrum Jülich, Professor at University of BonnE-mail confirmado em fz-juelich.de
Sotirios Tsaftaris ( Sotos Tsaftaris )Chair in Machine Learning and Computer Vision, The University of EdinburghE-mail confirmado em ed.ac.uk
Kerstin A. NagelJPPC - Jülich Plant Phenotyping Centre, Forschungszentrum JülichE-mail confirmado em fz-juelich.de
Achim WalterProfessor of Crop Science, ETH ZürichE-mail confirmado em usys.ethz.ch
Bernd JähneSenior Professor, Physics and Computer Science, Heidelberg UniversityE-mail confirmado em iwr.uni-heidelberg.de
Siegfried JahnkeForschungszentrum JülichE-mail confirmado em fz-juelich.de
Massimo MinerviniCET Electronics, IMT LuccaE-mail confirmado em imtlucca.it
Fabio FioraniForschungszentrum Jülich, IBG2 Plant SciencesE-mail confirmado em fz-juelich.de
Michael FelsbergProfessor of Computer Vision, Linköping UniversityE-mail confirmado em liu.se
Marcus JansenLemnaTec GmbHE-mail confirmado em lemnatec.de
Dagmar van DusschotenSenior Scientist at IBG-2, Plant Sciences, Forschungszentrum JuelichE-mail confirmado em planet.nl
Per-Erik ForssénAssociate Professor in Electrical Engineering, Linköping UniversityE-mail confirmado em isy.liu.se
Mark Müller-LinowInstitute of Plant Sciences, IBG-2, Forschungszentrum JülichE-mail confirmado em fz-juelich.de
Stefan AuerRemote Sensing Technology Institute, German Aerospace Center (DLR)E-mail confirmado em dlr.de
Rupert MüllerGerman Aerospace Center DLR - Senior ScientistE-mail confirmado em dlr.de
Mario Valerio GiuffridaUniversity of NottinghamE-mail confirmado em nottingham.ac.uk
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityE-mail confirmado em mia.uni-saarland.de
Tobias SchuchertCoupaE-mail confirmado em coupa.com
Andrew P FrenchUniversity of NottinghamE-mail confirmado em nottingham.ac.uk

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Hanno Scharr

Forschungszentrum Jülich, IAS-8

E-mail confirmado em fz-juelich.de - Página inicial

Computer vision machine learning plant phenotyping


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance in Arabidopsis thaliana and other rosette plants M Jansen, F Gilmer, B Biskup, KA Nagel, U Rascher, A Fischbach, ... Functional Plant Biology 36 (11), 902-914, 2009	399	2009
GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons KA Nagel, A Putz, F Gilmer, K Heinz, A Fischbach, J Pfeifer, M Faget, ... Functional plant biology 39 (11), 891-904, 2012	396	2012
A scheme for coherence-enhancing diffusion filtering with optimized rotation invariance J Weickert, H Scharr Journal of Visual Communication and Image Representation 13 (1-2), 103-118, 2002	360	2002
Finely-grained annotated datasets for image-based plant phenotyping M Minervini, A Fischbach, H Scharr, SA Tsaftaris Pattern recognition letters 81, 80-89, 2016	343	2016
Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine vision and applications 27, 585-606, 2016	326	2016
Temperature responses of roots: impact on growth, root system architecture and implications for phenotyping KA Nagel, B Kastenholz, S Jahnke, D Van Dusschoten, T Aach, ... Functional Plant Biology 36 (11), 947-959, 2009	296	2009
Optimale Operatoren in der digitalen Bildverarbeitung H Scharr Universitätsbibliothek, 2000	280*	2000
Image analysis: the new bottleneck in plant phenotyping [applications corner] M Minervini, H Scharr, SA Tsaftaris IEEE signal processing magazine 32 (4), 126-131, 2015	276	2015
Principles of filter design B Jähne, H Scharr, S Körkel, B Jähne, H Haußecker, P Geißler Handbook of computer vision and applications 2, 125-151, 1999	269	1999
A stereo imaging system for measuring structural parameters of plant canopies B Biskup, H Scharr, U Schurr, UWE Rascher Plant, cell & environment 30 (10), 1299-1308, 2007	260	2007
Dynamics of seedling growth acclimation towards altered light conditions can be quantified via GROWSCREEN: a setup and procedure designed for rapid optical phenotyping of … A Walter, H Scharr, F Gilmer, R Zierer, KA Nagel, M Ernst, A Wiese, ... New Phytologist 174 (2), 447-455, 2007	202	2007
Machine Learning for Plant Phenotyping Needs Image Processing SA Tsaftaris, M Minervini, H Scharr Trends in Plant Science 1481, 2016	174	2016
Recovery dynamics of growth, photosynthesis and carbohydrate accumulation after de-submergence: a comparison between two wetland plants showing escape and quiescence strategies FL Luo, KA Nagel, H Scharr, B Zeng, U Schurr, S Matsubara Annals of Botany 107 (1), 49-63, 2011	153	2011
Optimal filters for extended optical flow H Scharr Complex Motion, 14-29, 2007	136	2007
Arigan: Synthetic arabidopsis plants using generative adversarial network M Valerio Giuffrida, H Scharr, SA Tsaftaris Proceedings of the IEEE international conference on computer vision …, 2017	133	2017
Channel smoothing: Efficient robust smoothing of low-level signal features M Felsberg, PE Forssén, H Scharr IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2), 209-222, 2006	123	2006
The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool M Müller-Linow, F Pinto-Espinosa, H Scharr, U Rascher Plant methods 11, 1-16, 2015	119	2015
QTL analysis of early stage heterosis for biomass in Arabidopsis RC Meyer, B Kusterer, J Lisec, M Steinfath, M Becher, H Scharr, ... Theoretical and Applied Genetics 120, 227-237, 2010	114	2010
Annotated image datasets of rosette plants H Scharr, M Minervini, A Fischbach, SA Tsaftaris European conference on computer vision, 6-12, 2014	112	2014
HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging S Bergsträsser, D Fanourakis, S Schmittgen, MP Cendrero-Mateo, ... Plant methods 11, 1-17, 2015	109	2015

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