Predictions of crop yield response to a dynamic environment are essential to the development of optimal control strategies for greenhouses. A dynamic tomato growth and yield model (TOMGRO) was developed specifically for coupling to physical models of the greenhouse environment for optimizing temperature and carbon dioxide concentrations for tomato production. The model is based on development and growth components. Experiments were conducted in outdoor, computer-controlled plant growth chambers to parameterize the development, carbon exchange, and growth submodels under combinations of two CO2 (350 and 950 vpm) and three night temperatures (12, 16, and 20 C). Daytime temperatures were held to 28 for all treatments. The model successfully described development, growth, and yield for all combinations of temperature and CO2 in this experiment.
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