Modeling and control for closed environment plant production systems

David H. Fleisher, K. C. Ting

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A computer program was developed to study multiple crop production and control in controlled environment plant production systems. The program simulates crop growth and development under nominal and off-nominal environments. Timeseries crop models for wheat (Triticum aestivum), soybean (Glycine max), and white potato (Solanum tuberosum) are integrated with a model-based predictive controller. The controller evaluates and compensates for effects of environmental disturbances on crop production scheduling. The crop models consist of a set of nonlinear polynomial equations, six for each crop, developed using multivariate polynomial regression (MPR). Simulated data from DSSAT crop models, previously modified for crop production in controlled environments with hydroponics under elevated atmospheric carbon dioxide concentration, were used for the MPR fitting. The model-based predictive controller adjusts light intensity, air temperature, and carbon dioxide concentration set points in response to environmental perturbations. Control signals are determined from minimization of a cost function, which is based on the weighted control effort and squared-error between the system response and desired reference signal.

Original languageEnglish (US)
Title of host publicationIV International Symposium on Models for Plant Growth and Control in Greenhoues
Subtitle of host publicationModeling for the 21st Century - Agronomic and Greenhouse Crop Models
PublisherInternational Society for Horticultural Science
Number of pages7
ISBN (Print)9789066058460
StatePublished - 2002

Publication series

NameActa Horticulturae
ISSN (Print)0567-7572


  • Advanced Life Support Systems
  • Crop modeling
  • Model-based predictive control
  • Regression analysis

ASJC Scopus subject areas

  • Horticulture


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