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UAV Remote Sensing for High-Throughput Phenotyping and for ..:
Giorgio Impollonia
;
Michele Croci
;
Andrea Ferrarini
...
Remote Sensing in Agriculture and Vegetation. , 2022
Link:
https://doi.org/10.3390/rs14122927
RT Journal T1
UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2072-4292_14_12_2927_&Exemplar=1&LAN=DE A1 Giorgio Impollonia A1 Michele Croci A1 Andrea Ferrarini A1 Jason Brook A1 Enrico Martani A1 Henri Blandinières A1 Andrea Marcone A1 Danny Awty-Carroll A1 Chris Ashman A1 Jason Kam A1 Andreas Kiesel A1 Luisa M. Trindade A1 Mirco Boschetti A1 John Clifton-Brown A1 Stefano Amaducci PB Multidisciplinary Digital Publishing Institute YR 2022 K1 Miscanthus K1 remote sensing K1 UAV K1 multispectral images K1 high-throughput phenotyping K1 machine learning K1 yield prediction K1 trait estimation K1 PROSAIL K1 multi-sensor interoperability JF Remote Sensing in Agriculture and Vegetation LK http://dx.doi.org/https://doi.org/10.3390/rs14122927 DO https://doi.org/10.3390/rs14122927 SF ELIB - SuUB Bremen
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