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Soil heterogeneity at the field scale: a challenge for precision crop protection

机译:田间土壤异质性:作物保护的挑战

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Crop protection seldom takes into account soil heterogeneity at the field scale. Yet, variable site characteristics affect the incidence of pests as well as the efficacy and fate of pesticides in soil. This article reviews crucial starting points for incorporating soil information into precision crop protection (PCP). At present, the lack of adequate field maps is a major drawback. Conventional soil analyses are too expensive to capture soil heterogeneity at the field scale with the required spatial resolution. Therefore, we discuss alternative procedures exemplified by our own results concerning (i) minimally and non-invasive sensor techniques for the estimation of soil properties, (ii) the evidence of soil heterogeneity with respect to PCP, and (iii) current possibilities for incorporation of high resolution soil information into crop protection decisions. Soil organic carbon (SOC) and soil texture are extremely interesting for PCP. Their determination with minimally invasive techniques requires the sampling of soils, because the sensors must be used in the laboratory. However, this technique delivers precise information at low cost. We accurately determined SOC in the near-infrared. In the mid-infrared, texture and lime content were also exactly quantified. Non-invasive sensors require less effort. The airborne HyMap sensor was suitable for the detection of variability in SOC at high resolution, thus promising further progress regarding SOC data acquisition from bare soil. The apparent electrical conductivity as measured by an EM38 sensor was shown to be a suitable proxy for soil texture and layering. A survey of arable fields near Bonn (Germany) revealed widespread within-field heterogeneity of texture-related ECa, SOC and other characteristics. Maps of herbicide sorption and application rate were derived from sensor data, showing that optimal herbicide dosage is strongly governed by soil variability. A phytoassay with isoproturon confirmed the reliability of spatially varied herbicide application rates. Mapping areas with an enhanced leaching risk within fields allows them to be kept free of pesticides with related regulatory restrictions. We conclude that the use of information on soil heterogeneity within the concept of PCP is beneficial, both economically and ecologically.
机译:作物保护很少考虑田间规模的土壤异质性。然而,可变的场所特征会影响害虫的发生率以及农药在土壤中的功效和命运。本文回顾了将土壤信息纳入精准作物保护(PCP)的关键起点。当前,缺乏足够的场图是一个主要缺点。传统的土壤分析过于昂贵,无法以所需的空间分辨率在田间规模上捕获土壤异质性。因此,我们讨论了以我们自己的结果为例的替代程序,这些结果涉及以下方面:(i)用于估算土壤性质的最小和非侵入性传感器技术;(ii)关于PCP的土壤异质性证据;(iii)目前纳入的可能性高分辨率土壤信息纳入作物保护决策。对于PCP,土壤有机碳(SOC)和土壤质地非常有趣。用微创技术进行测定需要对土壤进行采样,因为传感器必须在实验室中使用。但是,该技术以低成本提供了精确的信息。我们准确确定了近红外光下的SOC。在中红外,质地和石灰含量也被精确定量。非侵入式传感器所需的精力更少。机载HyMap传感器适用于高分辨率检测SOC的变化,因此有望在从裸土中获取SOC数据方面取得进一步的进展。由EM38传感器测得的表观电导率被证明是土壤质地和分层的合适代表。对波恩(德国)附近耕地的一项调查显示,与纹理相关的ECa,SOC和其他特征在田间存在广泛的异质性。从传感器数据得出除草剂吸附和施用率的图谱,表明最佳除草剂剂量受土壤多变性的强烈控制。异丙隆的植物检定证实了空间除草剂施用量的可靠性。对田间浸出风险增加的区域进行制图,可以使它们免受相关法规限制的杀虫剂的侵害。我们得出结论,在五氯苯酚概念中使用关于土壤异质性的信息在经济和生态上都是有益的。

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