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Model-data fusion of chlorophyll fluorescence for reducing uncertainties in large-scale simulations of plant photosynthesis and transpiration

Lorenzo Francesco Davoli

Model-data fusion of chlorophyll fluorescence for reducing uncertainties in large-scale simulations of plant photosynthesis and transpiration.

Rel. Alessandro Pelizzola. Politecnico di Torino, Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi), 2023

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Abstract

Model-data fusion of chlorophyll fluorescence for reducing uncertainties in large-scale simulations of plant photosynthesis and transpiration

Tipo di pubblicazione

Elettronica

URI

https://webthesis.biblio.polito.it/id/eprint/26650
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