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1 Ergebnisse
1
Supplementary Material for Detecting Xylella fastidiosa in ..:
Camino, Carlos
;
Araño, K
;
Berni, J. A
...
Camino, Carlos; Araño, K.; Berni, J. A.; Dierkes, H.; Trapero Casas, José Luis; León-Ropero, Guillermo; Montes Borrego, Miguel; Román Ecija, Miguel; Velasco-Amo, María Pilar; Landa, Blanca B.; Navas Cortés, Juan Antonio. , 2022
Link:
http://hdl.handle.net/10261/330588
RT Journal T1
Supplementary Material for Detecting Xylella fastidiosa in a machine learning framework using Vcmax and leaf biochemistry quantified with airborne hyperspectral imagery
UL https://suche.suub.uni-bremen.de/peid=base-ftcsic:oai:digital.csic.es:10261_330588&Exemplar=1&LAN=DE A1 Camino, Carlos A1 Araño, K A1 Berni, J. A A1 Dierkes, H A1 Trapero Casas, José Luis A1 León-Ropero, Guillermo A1 Montes Borrego, Miguel A1 Román Ecija, Miguel A1 Velasco-Amo, María Pilar A1 Landa, Blanca B A1 Navas Cortés, Juan Antonio A1 Beck, P. S. A PB Elsevier YR 2022 JF Camino, Carlos; Araño, K.; Berni, J. A.; Dierkes, H.; Trapero Casas, José Luis; León-Ropero, Guillermo; Montes Borrego, Miguel; Román Ecija, Miguel; Velasco-Amo, María Pilar; Landa, Blanca B.; Navas Cortés, Juan Antonio LK http://hdl.handle.net/10261/330588 DO http://hdl.handle.net/10261/330588 SF ELIB - SuUB Bremen
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