Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies
Erekle Chakhvashvili(Forschungszentrum Jülich), Uwe Rascher(University of Bonn), Michal Antala(Aarhus University), Nitzan Malachy(Agricultural Research Organization), Anshu Rastogi(Poznań University of Technology), Marlena Kycko(University of Warsaw), Shawn C. Kefauver(Universitat de Barcelona), Sebastian Wieneke(Center For Remote Sensing (United States)), Lorenz Hänchen(Universität Innsbruck), Juliane Bendig, Quanxing Wan(Wageningen University & Research), Martin Schlerf(Luxembourg Institute of Science and Technology), Paul Naethe, Hamadou Balde(Sorbonne Université), Offer Rozenstein(Agricultural Research Organization), José A. Jiménez-Berni(Commonwealth Scientific and Industrial Research Organisation), Miriam Machwitz(Luxembourg Institute of Science and Technology), Na Wang(The University of Melbourne), Verónica Sobejano Paz(Chinese Academy of Sciences), Henning Buddenbaum(Universität Trier), Jan Komárek(Czech University of Life Sciences Prague), Tomáš Klouek(Czech University of Life Sciences Prague), Amit Weinman(Technion – Israel Institute of Technology), Egor Prikaziuk(University of Twente), Maria-Luisa Buchaillot(Institute of Biosciences and Bioresources), Bastian Siegmann(Forschungszentrum Jülich)
Cited by 40
Related Papers
Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
|Remote Sensing of Environment|2009|810
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
|Remote Sensing of Environment|2019|760
Application of silicon nanoparticles in agriculture
|3 Biotech|2019|622
Models of fluorescence and photosynthesis for interpreting measurements of solar‐induced chlorophyll fluorescence
|Journal of Geophysical Research Biogeosciences|2014|430