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
Relators:	Alessandro Pelizzola
Academic year:	2022/23
Publication type:	Electronic
Number of Pages:	94
Subjects:
Corso di laurea:	Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi)
Classe di laurea:	New organization > Master science > LM-44 - MATHEMATICAL MODELLING FOR ENGINEERING
Aziende collaboratrici:	CEA Saclay
URI:	http://webthesis.biblio.polito.it/id/eprint/26650

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