Francisco Pinto
Francisco Pinto
International Maize and Wheat Improvement Center (CIMMYT)
Verified email at cgiar.org
Title
Cited by
Cited by
Year
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
1962015
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
1642015
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
1432012
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
1362011
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
1122015
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
932014
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
772019
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
772016
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), 11, 2015
772015
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
762019
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
722016
Breeder friendly phenotyping
M Reynolds, S Chapman, L Crespo-Herrera, G Molero, S Mondal, ...
Plant Science, 110396, 2020
522020
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
P Juliana, OA Montesinos-López, J Crossa, S Mondal, LG Pérez, ...
Theoretical and applied genetics 132 (1), 177-194, 2019
482019
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
332019
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
292017
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
252018
Non-invasive phenotyping methodologies enable the accurate characterization of growth and performance of shoots and roots
M Jansen, F Pinto, KA Nagel, D van Dusschoten, F Fiorani, U Rascher, ...
Genomics of plant genetic resources, 173-206, 2014
222014
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
202019
EDOCROS: Early detection of crop water and nutritional stress by remotely sensed indicators
C Panigada, L Busetto, M Meroni, S Amaducci, M Rossini, S Cogliati, ...
4th International workshop on remote sensing of vegetation fluorescence, 15-17, 2010
132010
Variability of sun‐induced chlorophyll fluorescence according to stand age‐related processes in a managed loblolly pine forest
R Colombo, M Celesti, R Bianchi, PKE Campbell, S Cogliati, BD Cook, ...
Global change biology 24 (7), 2980-2996, 2018
112018
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