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AI InsightThe deviations of simulated data from the measured data were recorded as 1-2 days for the harvesting time and 1-2% for the total yield.
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Özet
In recent years, models of the greenhouse environment and of crops have been used to determine optimal strategies for environment control in regions where new greenhouse industries are developing. In this study, the tomato crop growth model TOMGRO, which was developed to describe the growth and yield of an indeterminate tomato variety under controlled conditions of greenhouse cultivation in Israel, was evaluated under Çukurova conditions. The input parameters for the model were observed from a greenhouse experiment conducted during 1995-1996 growing season. There was good agreement between the simulated and observed number of nodes. The simulated number of leaves and the development of the leaf area were higher than those measured. The model predicted weekly and final yield satisfactorily. The deviations of simulated data from the measured data were recorded as 1-2 days for the harvesting time and 1-2% for the total yield.
Abstract
In recent years, models of the greenhouse environment and of crops have been used to determine optimal strategies for environment control in regions where new greenhouse industries are developing. In this study, the tomato crop growth model TOMGRO, which was developed to describe the growth and yield of an indeterminate tomato variety under controlled conditions of greenhouse cultivation in Israel, was evaluated under Çukurova conditions. The input parameters for the model were observed from a greenhouse experiment conducted during 1995-1996 growing season. There was good agreement between the simulated and observed number of nodes. The simulated number of leaves and the development of the leaf area were higher than those measured. The model predicted weekly and final yield satisfactorily. The deviations of simulated data from the measured data were recorded as 1-2 days for the harvesting time and 1-2% for the total yield.