Model predictive temperature and humidity control of greenhouse with ventilation

Kazuhisa Ito, Tsubasa Tabei

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


Facility gardening with complex environmental control systems has potential in improving productivity and producing high value-added agricultural products; however, its introduction is expensive. Thus, this study proposes a greenhouse temperature and humidity control system using relatively inexpensive heaters, humidifiers, and ventilation fans. Humidity control is expected to promote photosynthesis and prevent plant disease. The concept of model predictive control (MPC) was applied to a small greenhouse to minimise the sum of squared errors. Compared with the two conventional methods, the simulation results showed that MPC reduced the relative RMS error of the temperature and humidity deficit to 23.5% and 13.1%, respectively.

Original languageEnglish
Pages (from-to)2
Number of pages1
JournalProcedia Computer Science
Publication statusPublished - 2021
Event25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021 - Szczecin, Poland
Duration: 2021 Sept 82021 Sept 10


  • Greenhouse
  • Humidity deficit
  • Model predictive control
  • Temperature
  • Ventilation

ASJC Scopus subject areas

  • General Computer Science


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