| Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant U Rascher, L Alonso, A Burkart, C Cilia, S Cogliati, R Colombo, A Damm, ... Global change biology 21 (12), 4673-4684, 2015 | 252 | 2015 |
| Red and far red Sun‐induced chlorophyll fluorescence as a measure of plant photosynthesis M Rossini, L Nedbal, L Guanter, A Ač, L Alonso, A Burkart, S Cogliati, ... Geophysical research letters 42 (6), 1632-1639, 2015 | 197 | 2015 |
| High-throughput phenotyping for crop improvement in the genomics era RR Mir, M Reynolds, F Pinto, MA Khan, MA Bhat Plant Science 282, 60-72, 2019 | 192 | 2019 |
| Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis C Römer, M Wahabzada, A Ballvora, F Pinto, M Rossini, C Panigada, ... Functional Plant Biology 39 (11), 878-890, 2012 | 170 | 2012 |
| Non-invasive approaches for phenotyping of enhanced performance traits in bean U Rascher, S Blossfeld, F Fiorani, S Jahnke, M Jansen, AJ Kuhn, ... Functional Plant Biology 38 (12), 968-983, 2011 | 162 | 2011 |
| Breeder friendly phenotyping M Reynolds, S Chapman, L Crespo-Herrera, G Molero, S Mondal, ... Plant Science 295, 110396, 2020 | 153 | 2020 |
| New sensors and data-driven approaches—A path to next generation phenomics T Roitsch, L Cabrera-Bosquet, A Fournier, K Ghamkhar, J Jiménez-Berni, ... Plant Science 282, 2-10, 2019 | 151 | 2019 |
| Continuous and long-term measurements of reflectance and sun-induced chlorophyll fluorescence by using novel automated field spectroscopy systems S Cogliati, M Rossini, T Julitta, M Meroni, A Schickling, A Burkart, F Pinto, ... Remote Sensing of Environment 164, 270-281, 2015 | 148 | 2015 |
| Fluorescence, PRI and canopy temperature for water stress detection in cereal crops C Panigada, M Rossini, M Meroni, C Cilia, L Busetto, S Amaducci, ... International Journal of Applied Earth Observation and Geoinformation 30 …, 2014 | 121 | 2014 |
| Sun‐induced chlorophyll fluorescence from high‐resolution imaging spectroscopy data to quantify spatio‐temporal patterns of photosynthetic function in crop canopies F Pinto, A Damm, A Schickling, C Panigada, S Cogliati, M Müller‐Linow, ... Plant, cell & environment 39 (7), 1500-1512, 2016 | 108 | 2016 |
| 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 | 99 | 2015 |
| Airborne based spectroscopy of red and far-red sun-induced chlorophyll fluorescence: Implications for improved estimates of gross primary productivity S Wieneke, H Ahrends, A Damm, F Pinto, A Stadler, M Rossini, U Rascher Remote sensing of environment 184, 654-667, 2016 | 94 | 2016 |
| Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat P Juliana, OA Montesinos-López, J Crossa, S Mondal, L González Pérez, ... Theoretical and Applied Genetics 132, 177-194, 2019 | 91 | 2019 |
| Wheat root systems as a breeding target for climate resilience ES Ober, S Alahmad, J Cockram, C Forestan, LT Hickey, J Kant, ... Theoretical and Applied Genetics 134 (6), 1645-1662, 2021 | 72 | 2021 |
| Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing MP Cendrero-Mateo, S Wieneke, A Damm, L Alonso, F Pinto, J Moreno, ... Remote sensing 11 (8), 962, 2019 | 66 | 2019 |
| Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... Plant Phenomics, 2021 | 54 | 2021 |
| The high-performance airborne imaging spectrometer HyPlant—From raw images to top-of-canopy reflectance and fluorescence products: Introduction of an automatized processing chain B Siegmann, L Alonso, M Celesti, S Cogliati, R Colombo, A Damm, ... Remote sensing 11 (23), 2760, 2019 | 53 | 2019 |
| Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion M Celesti, C van der Tol, S Cogliati, C Panigada, P Yang, F Pinto, ... Remote sensing of environment 215, 97-108, 2018 | 44 | 2018 |
| High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation L Volpato, F Pinto, L González-Pérez, IG Thompson, A Borém, ... Frontiers in Plant Science 12, 591587, 2021 | 42 | 2021 |
| Multiangular observation of canopy sun-induced chlorophyll fluorescence by combining imaging spectroscopy and stereoscopy F Pinto, M Müller-Linow, A Schickling, MP Cendrero-Mateo, A Ballvora, ... Remote sensing 9 (5), 415, 2017 | 42 | 2017 |
Uwe RascherProfessor of Quantitative Crop PhysiologyVerified email at fz-juelich.de
