This study was conducted to develop sequential sampling plans to estimate leaf mine density by Liriomyza sativae (Blanchard) at three fixed-precision levels in cucumber greenhouse. The within- greenhouse spatial patterns of leafmines were aggregated. The slopes and intercepts of Taylor's power law did not differ between years. A fixed-precision level sampling plan was developed using the parameters of Taylor's power law generated from total number of leafmines in a cucumber leaf at three precision levels (D) of 0.1, 0.25 and 0.29. The resulting sampling plans were tested with sequential bootstrap simulations (n=500) using 10 independent data sets for validation. Bootstrap simulation within a wide range of densities demonstrated that actual D' values at desired D= 0.29 averaged less than or equal to 0.29 in all cases. Even at the lowest density of leaf mine (0.27 mine per leaf), the actual mean D' was 0.28 at D= 0.29. This result shows that the sampling plan developed in this study is effective and reliable for estimating the mine densities in cucumber greenhouses.