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Site-specific management zones based on the Rasch model and geostatistical techniques.

机译:基于Rasch模型和地统计技术的特定于站点的管理区域。

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摘要

Delineation of management zones (MZ), i.e. areas within the field which represent subfield regions of similar production potential, is the first stage to implement site-specific management. During the last years different algorithms have been proposed to define MZ, with different results. In this work, the use of an objective method, the formulation of the Rasch model, which synthesizes data with different units into a uniform analytical framework, is considered to get representative measures of soil fertility potential which could be used to delimit MZ. To illustrate the method, a case study was conducted in a experimental field using five soil properties: clay, sand and silt content, and deep (ECd) and shallow (ECs) soil apparent electrical conductivity (approximately 0-90 and 0-30 cm depths, respectively). Two main results were obtained after applying this method: (1) a classification of all locations according to the soil fertility potential, which was the value of the Rasch measure and (2) the influence on the soil fertility of each individual soil property, being ECs the most influential and silt content the less influential property. Later, from the measures of soil fertility potential at sampled points, estimates were carried out using the ordinary kriging technique. Consequently, kriged estimates were utilized to map soil fertility potential and MZ were delimited using an equal-size classification method, which practically coincided with the MZ determined by a unsupervised classification. It is also shown the possibility of using probability maps to delimit MZ or provide information for hazard assessment of soil fertility in a field.Digital Object Identifier http://dx.doi.org/10.1016/j.compag.2010.10.014
机译:划定管理区(MZ),即在田野内代表具有类似生产潜力的子田地的区域,是实施特定地点管理的第一步。在最近几年中,已经提出了不同的算法来定义MZ,但结果却不同。在这项工作中,考虑使用客观方法,即Rasch模型的制定,该模型将不同单位的数据综合到一个统一的分析框架中,以获取可用于划定MZ的土壤肥力潜力的代表性度量。为了说明该方法,在一个实验场中使用五种土壤特性进行了案例研究:粘土,沙子和淤泥含量以及深(ECd)和浅(ECs)土壤的表观电导率(大约0-90和0-30 cm深度)。应用此方法后获得了两个主要结果:(1)根据土壤肥力潜力对所有位置进行分类,这是Rasch测度的值;(2)对每种土壤属性的土壤肥力的影响为ECs影响最大,淤泥含量影响较小。后来,从采样点的土壤肥力潜力测算中,使用普通的克里格法进行了估算。因此,使用克里格法估计的值来绘制土壤肥力图,并使用等规模分类方法对MZ进行定界,该方法实际上与无监督分类确定的MZ相符。它还显示了使用概率图划定MZ或为田间土壤肥力的危害评估提供信息的可能性。数字对象标识符http://dx.doi.org/10.1016/j.compag.2010.10.014

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