Bayesian Networks for Greenhouse Temperature Control

  • José del SagradoEmail author
  • Francisco Rodríguez
  • Manuel Berenguel
  • Rafael Mena
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)


Greenhouse production processes are heavily influenced by greenhouse climate conditions, as crop growth performance is directly influenced by these conditions. A solution to the problem of controlling the temperature in greenhouses using an open–loop control system based on Bayesian networks is presented in this paper. The system is built and tested using data gathered from a real greenhouse. The results show the performance and applicability of this type of systems.


Bayesian networks Greenhouse climate control Decision support 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • José del Sagrado
    • 1
    Email author
  • Francisco Rodríguez
    • 1
  • Manuel Berenguel
    • 1
  • Rafael Mena
    • 1
  1. 1.Departamento de InformáticaUniversidad de AlmeríaAlmeríaSpain

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