DocumentCode :
722917
Title :
Identification of simple mass balance models for plant growth - evolving yields and incorporating developmental stages
Author :
Dochain, Denis ; MacLean, Heather
Author_Institution :
ICTEAM, Univ. catholique de Louvain, Louvain-la-Neuve, Belgium
fYear :
2015
fDate :
16-19 June 2015
Firstpage :
428
Lastpage :
433
Abstract :
This paper presents a simple mass balance model for plant growth. This basis is in the development of a model intended to enable the prediction and control of a plant production chamber for MELiSSA, a regenerative life support system project developed by the ESA. Photosynthesis and respiration have been selected as key reactions for biomass production. Considering these reactions, the model was developed using a mass balance approach. Reaction kinetics were chosen based on plant physiology and standard biochemical reaction knowledge. The identification and validation of yield and kinetic parameters were performed using data from lettuce and beet experiments in a closed plant chamber. Although the model adequately predicts plant growth, the oxygen prediction can be improved by considering two stages on the basis of the photosynthetic quotient.
Keywords :
agriculture; biochemistry; reaction kinetics; renewable materials; ESA; MELiSSA; beet experiments; biomass production; developmental stages; lettuce; oxygen prediction; photosynthesis; photosynthetic quotient; plant growth; plant physiology; plant production chamber control; plant production chamber prediction; reaction kinetics; regenerative life support system project; respiration; simple mass balance models; standard biochemical reaction knowledge; Biological system modeling; Biomass; Carbon dioxide; Kinetic theory; Mathematical model; Predictive models; Production; Plant growth modelling; identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (MED), 2015 23th Mediterranean Conference on
Conference_Location :
Torremolinos
Type :
conf
DOI :
10.1109/MED.2015.7158786
Filename :
7158786
Link To Document :
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