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International Joint Conference on Computational Intelligence

IJCCI 2016: Computational Intelligence pp 25–44Cite as

DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 792))

Abstract

It is not possible for growers to compromise product quality by saving energy but the increasing electricity prices challenge the growers economically. Optimization of such multiple conflicting goals requires advanced strategies that are currently not supported in existing greenhouse climate control systems. DynaGrow is built on top of the existing climate control computers and utilizes the existing hardware. By integrating with exiting hardware it is possibly to support advanced multi-objective optimization of climate parameters without investing in new hardware. Furthermore, DynaGrow integrates with local climate data, electricity price forecasts and outdoor weather forecasts, in order to formulate advanced control objectives. In September 2014 and February 2015 two greenhouse experiments were run to evaluate the effects of DynaGrow. By applying multi-objective optimization, it was possible to produce a number of different cultivars and save energy without compromising quality. The best energy savings were achieved in the February 2015 experiment where the contribution from natural light was limited.

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Author information

Authors and Affiliations

  1. The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark

    Jan Corfixen Sørensen & Bo Nørregaard Jørgensen

  2. Department of Horticulture, Aarhus University, Kirstinebjergvej 10, 5792, Aarslev, Denmark

    Katrine Heinsvig Kjaer & Carl-Otto Ottosen

Authors
  1. Jan Corfixen Sørensen
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  2. Katrine Heinsvig Kjaer
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  3. Carl-Otto Ottosen
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  4. Bo Nørregaard Jørgensen
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Corresponding author

Correspondence to Jan Corfixen Sørensen .

Editor information

Editors and Affiliations

  1. Department of Computer Architecture and Computer Technology, Universidad de Granada, Granada, Spain

    Juan Julian Merelo

  2. ISEL-Instituto Politécnico de Lisboa, Lisboa, Portugal

    Fernando Melício

  3. Facultad de Informática, Department of Information and Communications Engineering, University of Murcia, Murcia, Spain

    José M. Cadenas

  4. University of Coimbra, Coimbra, Portugal

    António Dourado

  5. Université Paris-Est Créteil (UPEC), Créteil, France

    Kurosh Madani

  6. University of Algarve, Faro, Portugal

    António Ruano

  7. INSTICC, Setúbal, Portugal

    Joaquim Filipe

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Cite this paper

Sørensen, J.C., Kjaer, K.H., Ottosen, CO., Jørgensen, B.N. (2019). DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. In: Merelo, J.J., et al. Computational Intelligence. IJCCI 2016. Studies in Computational Intelligence, vol 792. Springer, Cham. https://doi.org/10.1007/978-3-319-99283-9_2

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