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通过对向日葵的株高、茎粗两生育指标田间系统采样研究,将影响系数法进行补充后应用到对两生育指标的原始数据特异值处理中。运用地质统计学原理探讨了株高、茎粗两生育指标的空间结构性并建立了变差函数模型。结果显示两变量具有较明显的区域化变量特征和较好的空间结构性,可用区域化变量理论来分析研究,经特异值处理后块金常数(C0)值有了不同程度的降低。弥补了单纯采用经典概率统计法对作物生育指标进行分析的不足,对作物信息进行空间结构性和定量化研究可为精确农业的实施提供必要的技术支撑。
Through the sampling of sunflower’s plant height and stem diameter, two field indices were used to supplement the original data of the two fertility indices. Based on the principle of geostatistics, the spatial structure of two growth traits of plant height and stem diameter was explored and a variation function model was established. The results show that the two variables have obvious characteristics of regionalized variables and good spatial structure, which can be analyzed and studied by using the theory of regional variables. The value of gold constant (C0) has been reduced to some extent after the special value treatment. It can make up for the shortcomings of using purely classical probability statistics to analyze the crop growth index. The spatial structural and quantitative research of crop information can provide the necessary technical support for the implementation of precision agriculture.