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Correlation between Crop Information and Soil Water-Salt Information and Cokriging Estimation

机译:作物信息与土壤水盐信息与录取鉴定的相关性

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During the squaring stage in summer, 2003, the sunflower (Kang Di 105) height and stem diameter, soil EC and soil water content in the corresponding location are measured. In order to reflect the growing vigor of sunflower and decrease the measuring error, the product of the height and stem diameter of sunflower is marked as integrated index (X) and chosen as the primary variable. On the condition that the correlation coefficient is less than 0.5 and the sampling number of the primary variable is the same as that of the secondary variable, the integrated index is estimated using the Cokriging (CK) expressed by cross covariance function, at the same time, the soil EC and soil water content are all chosen as the secondary variables. The soil EC and soil water content is chosen as the secondary variable respectively, we also get the two estimation sets of the integrated index. Another estimation set of the integrated index is obtained using ordinary Kriging. The four estimation sets are compared with the original set and analyzed in different aspects. In this paper, the CK method is introduced into the scope of the crop growing index, and the two estimation methods are been evaluated deeply. This study can provide the technical support for implementing the precision farming in the Hetao irrigation district.
机译:在2003年夏季的平方阶段,测量了向日葵(Kang DI 105)高度和茎直径,土壤EC和土壤水含量在相应位置。为了反映向日葵的生长活力并降低测量误差,向日葵的高度和茎直径的乘积标记为集成索引(X),并选择为主变量。在相关系数小于0.5的条件下,主变量的采样数与次级变量相同,使用交叉协方差函数表示的Cokriging(CK)估计集成索引,土壤EC和土壤含水量全部被选为次要变量。分别选择土壤EC和土壤水含量作为次要变量,我们还获得了两种估计集成指标。使用普通克里格获得综合指标的另一估计集。将四个估计集与原始集合进行比较并在不同方面进行分析。在本文中,将CK方法引入作物生长指数的范围内,并且深度评估了两种估计方法。本研究可以为实施“灌区灌区精密耕作”提供技术支持。

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