The objectives of this study were to provide a model reference for estimation of seedling height according to crown width based on imagery,and to provide technical guidance for the seedling industry.To this end,soil moisture and seedling growth data were first obtained through the application of automated field sensors.Model parameters were then estimated using a promising measurement error model method.The next stage of this study was to carry out comparative research on the fitted results from the Logistic model (Logistic regression) and the Richards model.Finally,relationships between soil moisture,growth rate,and the daily crown width increment were fitted by a cubic polynomial function.Results showed that:1) The measurement error model method provided good estimation accuracy of the parameters when dependent and independent variables were found within the measurement error.2) The Richards model was superior to the Logistic model when simulating yellow horn seedling growth and relationships between crown width and seedling height.3)Seedlings require higher soil moisture content during the initial growth stage,and that optimum soil moisture content demand for the daily maximum crown width increment will decrease with an increase in growth rate.%对生物燃油原料植物——文冠果苗木的冠幅生长规律进行研究,使用由原野服务器自动获取的土壤水分及实际测量数据,首先用度量误差模型方法估计模型参数,然后对逻辑斯蒂和理查兹模型进行比较,同时用3次多项式拟合土壤水分、生长日期与单日冠幅生长量的关系.结果表明:度量误差模型在自、因变量样本测定存在误差时能够明显提高参数估计精度;理查兹模型在文冠果苗木生长模拟中表现良好;苗木早期生长需要更充足的土壤水分,并且单日最大冠幅生长所需要的最佳土壤含水率随着苗木生长日期的增加而递减.
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