Model-based predictive greenhouse parameter control of aquaponic system.
Aquaponic system
Genetic algorithm
Greenhouse
Model predictive control
Particle swarm optimization
Proportional-integral control
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
20 Jul 2024
20 Jul 2024
Historique:
received:
01
04
2024
accepted:
15
07
2024
medline:
20
7
2024
pubmed:
20
7
2024
entrez:
20
7
2024
Statut:
aheadofprint
Résumé
The effectiveness of an aquaponic system significantly relies on the habitat provided for both the fish and plants. As an integral component of aquaponics, hydroponic cultivation benefits greatly from the controlled environment of a greenhouse. Within this environment, factors such as temperature, carbon dioxide levels, humidity, and light can be carefully adjusted to maximize plant growth and development. This precise regulation ensures an ideal growing environment, fostering the flourishing of plants and contributing to the overall success of the aquaponic ecosystem. This study presented a control approach for an aquaponic greenhouse system. It aims to keep the greenhouse climate parameters (temperature, CO
Identifiants
pubmed: 39031315
doi: 10.1007/s11356-024-34418-z
pii: 10.1007/s11356-024-34418-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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