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ISHS Acta Horticulturae 174: Symposium Greenhouse Climate and its Control

REPORT OF THE WORKING PARTY "CROP GROWTH MODELS"

Author:   H. Challa
Abstract:
Crop models have a wide range of potential applications in the field of greenhouse culture: research, planning, climate control, design, support for physical greenhouse models, and education.

Two main type of crop models can be distinguished, regression ("black-box") models and dynamic (explanatory) models. Properties and advantages and dis-advantages of these categories of models with respect to climate control and research are briefly reviewed.

Optimalization of climate control in greenhouses is a complicated problem. In order to reduce its complexity, the system is described as a hierarchical set of sub-systems. At the lowest level climate control in a strict sense is optimalized. At the intermediate level optimal set-points are calculated within the boundaries dictated by the top level, using crop growth models for the evaluation of the reactions of growth processes with a short relaxation time (<24h). Optimal average set-points are calculated at the top level with the aid of crop growth models that describe long-term (>24h) aspects of crop response to the environment.

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