Bayesian networks for greenhouse temperature control

Abstract

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.