In defining current science- and grower-based knowledge of cutflower crops, questions were raised of how the resulting information could be used to enhance production systems. A descriptive model of decision-making in the flower-growing industry was proposed as a means of answering some of these questions. Agricultural management and decision-making literature was reviewed. No models specific to entire cutflower production systems were found but some of the models cited were used as a basis for the model. Some data of a general and anecdotal nature were available, and to augment this, qualitative data were also gathered from growers. It is concluded that current management and decision-making models failed to make sufficient allowance for the complexity of growers' goals in a dynamic operating environment. It may be that the developers of science-based models also do not adequately understand the dynamic nature of agricultural-based production system decisions and therefore can not adequately meet growers' needs.