ISHS Acta Horticulturae 718: III International Symposium on Models for Plant Growth, Environmental Control and Farm Management in Protected Cultivation (HortiModel 2006)
MODELS AND SENSORS IN GREENHOUSE CONTROL |
| Author: | A.N.M. de Koning |
| Keywords: | crop monitoring, optimal control, soft sensor, decision support, early warning |
| Abstract:
A new generation of climate, irrigation and nutrition control will employ crop sensors and models. Feed-forward controllers anticipate the effects of disturbances on the greenhouse climate and take corrective action before they are allowed to occur. Greenhouse models can be used to predict the effects of disturbances. By using a crop model to estimate the benefits to the crop and a greenhouse model to estimate the costs, optimum setpoints can be generated. The reliability of model-based control is significantly enhanced when feedback on the crop’s status and growth rate are added. For this purpose, crop sensors need to be developed. Sensor data combined with intelligent algorithms, collectively called ‘soft sensors’, represent a promising way of obtaining additional information on the growth process. Crop monitoring can also be used as an early warning system (by comparing sensor measurements with reference data) and so help to limit the consequences of human error or technical failure. Optimal controllers use a model-based economic assessment to determine the optimum values for various processes and resource input levels. Optimal control will first be introduced as decision support systems at crop process level. | |
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