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Neural network analysis to evaluate ozone damage to vegetat..:

Savi, Flavia ; Nemitz, Eiko ; Coyle, Mhairi...
info:eu-repo/semantics/altIdentifier/doi/10.3389/ffgc.2020.00042. , 2020

RT Journal
T1 <Title>Neural network analysis to evaluate ozone damage to vegetation under different climatic conditions</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftuniparissaclay:oai:HAL:hal-02538642v1&Exemplar=1&LAN=DE
				
A1 Savi, Flavia
A1 Nemitz, Eiko
A1 Coyle, Mhairi
A1 Aitkenhead, Matt
A1 Frumau, Kfa
A1 Gerosa, Giacomo
A1 Finco, Angelo
A1 Gruening, Carten
A1 Goded, Ignacio
A1 Loubet, Benjamin
A1 Stella, Patrick
A1 Ruuskanen, Taaina
A1 Weidinger, T
A1 Horvath, L
A1 Zenone, Terenzio
A1 Fares, Silvano
PB HAL CCSD; Frontiers Media
YR 2020
K1 net ecosystem exchange
K1 european forest
K1 stomatal deposition
K1 tropospheric ozone
K1 artificial neural networks
K1 climate change
K1 [SDE.IE]Environmental Sciences/Environmental Engineering
K1 [SDE.BE]Environmental Sciences/Biodiversity and Ecology
K1 [SDE.MCG]Environmental Sciences/Global Changes
JF info:eu-repo/semantics/altIdentifier/doi/10.3389/ffgc.2020.00042
LK http://dx.doi.org/https://hal.inrae.fr/hal-02538642
DO https://hal.inrae.fr/hal-02538642
SF ELIB - SuUB Bremen

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