【摘要】 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。更多还原

【Abstract】 Complemented Influence Coefficient Method was used to treat the differential sample in the original data of height and stem diameter index of sunflower in this paper. Using the theory of geo-statistics, the spatial structure of the height and stem diameter index was discussed and its semi-sphere model was established. The results showed that the two growth indexes have good regionalized variable characteristics and spatial structure. After deleting the differetial sample, C₀ is decreased in different degrees. In practice, using this method could offset the shortage of using classical statistics to study on the growing index of crop. Researches on the spatial variability and quantification of the crop information can provide bases for the precision farming.更多还原