【摘要】 在田间系统采样研究基础上 ,将影响系数法进行补充后应用到对特异值处理中 ,运用地质统计学原理探讨了小尺度条件下土壤水盐信息及株高、茎粗两生育指标的空间结构性并建立了变差函数模型。结果显示各信息均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 ,且经特异值处理后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为精确农业的实施提供必要的技术支撑更多还原

【Abstract】 Based on the sampling data in the field,the complementary ICM was treated with the outlier in the original data for the soil water-salt information and growing index of height and diameter of sunflower stem. Using the theory of geo-statistics, their spatial structures in the micro-scale were discussed and the semi-variogram model was established. The results showed that the information has the good spatial structure. After treating outlier, C₀ decreased in some degrees. In the practice,using this method can offset the shortage of using classical statistics to study on the growing index of crop. Researching on the spatial variability and the quantifying of the crop information can support the precision farming.更多还原