Abstract
The objective of this paper was present a reasonable greenhouse crop transpiration rate model for irrigation scheduling thereby to achieve the best effect, for example, water and energy economizing furthermore to make crop growing better. So it was essential to measure crop transpiration rate. Owing to the difficulty of obtaining accurate real time data of crop transpiration, it was commonly estimated from weather parameters. So the fuzzy logic model for estimation of greenhouse crop transpiration rate was developed. The model was made up of five sub-systems and three layers. There were nine input variables and one output variable. The results of comparison between measured and fuzzy model is inspirer. The squared correlation coefficient (r<sup>2</sup>) by fuzzy model method (r<sup>2</sup>=0.9302) is slightly higher than by FAO Penman-Monteith formula (r<sup>2</sup>=0.9213). The fuzzy logic crop transpiration rate model could be easily extended for irrigation decision-making.
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