Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling
Modelling higher plant growth is of strategic interest for modern agriculture as well as for the development of bioregenerative life support systems for space applications, where crop growth is expected to play an essential role. The capability of constraint-based metabolic models to cope the diel d...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-10-01
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Series: | Frontiers in Plant Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.970410/full |
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author | Carles Ciurans Josep M. Guerrero Ivan Martínez-Mongue Claude G. Dussap Igor Marin de Mas Francesc Gòdia Francesc Gòdia |
author_facet | Carles Ciurans Josep M. Guerrero Ivan Martínez-Mongue Claude G. Dussap Igor Marin de Mas Francesc Gòdia Francesc Gòdia |
author_sort | Carles Ciurans |
collection | DOAJ |
description | Modelling higher plant growth is of strategic interest for modern agriculture as well as for the development of bioregenerative life support systems for space applications, where crop growth is expected to play an essential role. The capability of constraint-based metabolic models to cope the diel dynamics of plants growth is integrated into a multilevel modelling approach including mass and energy transfer and enzyme kinetics. Lactuca sativa is used as an exemplary crop to validate, with experimental data, the approach presented as well as to design a novel model-based predictive control strategy embedding metabolic information. The proposed modelling strategy predicts with high accuracy the dynamics of gas exchange and the distribution of fluxes in the metabolic network whereas the control architecture presented can be useful to manage higher plants chambers and open new ways of merging metabolome and control algorithms. |
first_indexed | 2024-04-11T07:29:10Z |
format | Article |
id | doaj.art-e004909e431b4a75b925c45ac1528134 |
institution | Directory Open Access Journal |
issn | 1664-462X |
language | English |
last_indexed | 2024-04-11T07:29:10Z |
publishDate | 2022-10-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Plant Science |
spelling | doaj.art-e004909e431b4a75b925c45ac15281342022-12-22T04:36:59ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-10-011310.3389/fpls.2022.970410970410Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modellingCarles Ciurans0Josep M. Guerrero1Ivan Martínez-Mongue2Claude G. Dussap3Igor Marin de Mas4Francesc Gòdia5Francesc Gòdia6Micro-Ecological Life Support System Alternative (MELiSSA) Pilot Plant-Claude Chipaux Laboratory, Universitat Autònoma de Barcelona, Barcelona, SpainCentre for Research on Microgrids (CROM), Aalborg University, Aalborg, DenmarkAAU Energy, Novo Nordisk Foundation Center for Sustainability, Lyngby, DenmarkInstitut Pascal, Université Clermont Auvergne, Clermont-Ferrand, FranceAAU Energy, Novo Nordisk Foundation Center for Sustainability, Lyngby, DenmarkMicro-Ecological Life Support System Alternative (MELiSSA) Pilot Plant-Claude Chipaux Laboratory, Universitat Autònoma de Barcelona, Barcelona, SpainCentre for Space Studies and Research - Universitat Autònoma de Barcelona (CERES-UAB), Institut d’Estudis Espacials de Catalunya, Universitat Autònoma de Barcelona, Barcelona, SpainModelling higher plant growth is of strategic interest for modern agriculture as well as for the development of bioregenerative life support systems for space applications, where crop growth is expected to play an essential role. The capability of constraint-based metabolic models to cope the diel dynamics of plants growth is integrated into a multilevel modelling approach including mass and energy transfer and enzyme kinetics. Lactuca sativa is used as an exemplary crop to validate, with experimental data, the approach presented as well as to design a novel model-based predictive control strategy embedding metabolic information. The proposed modelling strategy predicts with high accuracy the dynamics of gas exchange and the distribution of fluxes in the metabolic network whereas the control architecture presented can be useful to manage higher plants chambers and open new ways of merging metabolome and control algorithms.https://www.frontiersin.org/articles/10.3389/fpls.2022.970410/fullclosed ecological life support systemshigher plant chambersfunctional-structural modellingmodel predictive controlFBAMelissa |
spellingShingle | Carles Ciurans Josep M. Guerrero Ivan Martínez-Mongue Claude G. Dussap Igor Marin de Mas Francesc Gòdia Francesc Gòdia Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling Frontiers in Plant Science closed ecological life support systems higher plant chambers functional-structural modelling model predictive control FBA Melissa |
title | Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling |
title_full | Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling |
title_fullStr | Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling |
title_full_unstemmed | Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling |
title_short | Enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling |
title_sort | enhancing control systems of higher plant culture chambers via multilevel structural mechanistic modelling |
topic | closed ecological life support systems higher plant chambers functional-structural modelling model predictive control FBA Melissa |
url | https://www.frontiersin.org/articles/10.3389/fpls.2022.970410/full |
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