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The Application of EM38: Determination of Soil Parameters Selection of Soil Sampling Points and Use in Agriculture and Archaeology

机译:EM38的应用:确定土壤参数选择土壤采样点以及在农业和考古学中的用途

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摘要

Fast and accurate assessment of within-field variation is essential for detecting field-wide heterogeneity and contributing to improvements in the management of agricultural lands. The goal of this paper is to provide an overview of field scale characterization by electromagnetic induction, firstly with a focus on the applications of EM38 to salinity, soil texture, water content and soil water turnover, soil types and boundaries, nutrients and N-turnover and soil sampling designs. Furthermore, results concerning special applications in agriculture, horticulture and archaeology are included. In addition to these investigations, this survey also presents a wide range of practical methods for use. Secondly, the effectiveness of conductivity readings for a specific target in a specific locality is determined by the intensity at which soil factors influence these values in relationship to the desired information. The interpretation and utility of apparent electrical conductivity (ECa) readings are highly location- and soil-specific, so soil properties influencing the measurement of ECa must be clearly understood. From the various calibration results, it appears that regression constants for the relationships between ECa, electrical conductivity of aqueous soil extracts (ECe), texture, yield, etc., are not necessarily transferable from one region to another. The modelling of ECa, soil properties, climate and yield are important for identifying the location to which specific utilizations of ECa technology (e.g., ECa−texture relationships) can be appropriately applied. In general, the determination of absolute levels of ECa is frequently not possible, but it appears to be quite a robust method to detect relative differences, both spatially and temporally. Often, the use of ECa is restricted to its application as a covariate or the use of the readings in a relative sense rather than as absolute terms.
机译:快速准确地评估田间变化对于检测田间范围的异质性并有助于改善农业用地的管理至关重要。本文的目的是概述通过电磁感应进行的场尺度表征,首先着重于EM38在盐度,土壤质地,水含量和土壤水周转率,土壤类型和边界,养分和氮素转化方面的应用和土壤采样设计。此外,还包括有关农业,园艺和考古特殊应用的结果。除了这些调查之外,本调查还介绍了多种实用方法。其次,在特定地点针对特定目标的电导率读数的有效性取决于土壤因素影响这些值与所需信息之间关系的强度。表观电导率(ECa)读数的解释和用途是高度特定于位置和土壤的,因此必须清楚地了解影响ECa测量的土壤性质。从各种校准结果来看,似乎ECa,含水土壤提取物的电导率(ECe),质地,产量等之间关系的回归常数不一定能从一个区域转移到另一个区域。 ECa,土壤特性,气候和产量的建模对于确定可适当应用ECa技术的特定用途(例如ECa与纹理的关系)的位置很重要。通常,确定ECa的绝对水平通常是不可能的,但是它似乎是一种在空间和时间上检测相对差异的可靠方法。通常,ECa的使用仅限于作为协变量或相对意义上的读数使用,而不是绝对值。

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