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首页> 外文期刊>Soil & Tillage Research >Optimisation of soil VIS-NIR sensor-based variable rate application system of soil phosphorus.
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Optimisation of soil VIS-NIR sensor-based variable rate application system of soil phosphorus.

机译:基于土壤VIS-NIR传感器的土壤磷速施用系统的优化。

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摘要

Uniform phosphorous fertilisation has economical, ecological and agronomical shortcomings. This study was undertaken to optimize the variable rate (VR) elemental P application using a previously developed on-the-go visible (VIS) and near infrared (NIR) soil sensor. This VIS-NIR sensor consists of a chisel unit, to which the optical unit to detect soil extractable phosphorous (P-ext) was attached. A mobile, fibre-type VIS-NIR spectrophotometer (Zeiss Corona 45 visnir, Germany) with a measurement range between 305 and 1711 nm was used to measure soil spectra in reflectance mode. On-the-go measurement of soil spectra was carried out in two fields (A and B) situated near Leuven in Belgium. From the spectra, P-ext was calculated in soil and subsequently the required elemental P was determined. Different averaging windows (AW) of the predicted P-ext from successive spectra (2-22) and five recommendation classification intervals (RCI) of elemental P of 20, 10, 5, 2 and 1 kg ha-1 were assigned and tested. The VR of elemental P was compared with uniform rate (UR) application. Results showed that among the five RCIs, the minimum elemental P application rate was for interval of 5 kg ha-1, with small differences of among the different RCIs. In the fields under study, the amount of elemental P fertiliser according to the VR approach was higher than the UR application with an extra elemental P of 4 and 2.38 kg ha-1 for fields A and B, respectively. However, this higher elemental P fertiliser recommendation of VR is only valid when an equal number of samples (1200 in field A and 660 in field B) is considered for both VR and UR methods. Larger amounts of elemental P fertiliser were needed for plots and/or fields having higher variation in measured P-ext. The results also showed that in both fields the application rate decreased with larger AWs. Averaging of less than five P-ext successive values was not a proper choice with any RCIs due to the large deviation between the target and classified elemental P into the different RCIs. The combination of RCI 5 and AW between 10 and 15 is recommended to provide a good matching between uniform and applied elemental P at low cost..
机译:均匀施磷具有经济,生态和农学上的缺陷。这项研究是使用先前开发的移动可见光(VIS)和近红外(NIR)土壤传感器优化可变速率(VR)元素P应用的。 VIS-NIR传感器由凿子单元组成,在该凿子单元上装有用于检测土壤可提取磷(P-ext)的光学单元。使用测量范围在305至1711 nm之间的移动式纤维型VIS-NIR分光光度计(Zeiss Corona 45 visnir,德国)来以反射模式测量土壤光谱。在比利时鲁汶附近的两个田地(A和B)中进行土壤光谱的实时测量。根据光谱,计算土壤中的P-ext,然后确定所需的元素P。分配并测试了来自连续光谱(2-22)的预测P-ext的不同平均窗口(AW)和元素P的20、10、5、5和2 kg ha-1的五个推荐分类区间(RCI)。将元素P的VR与均匀速率(UR)应用进行了比较。结果表明,在五个RCI中,最小的元素P施用量为5 kg ha-1的间隔,不同RCI之间的差异很小。在所研究的田地中,根据VR方法,元素P肥料的施用量高于UR施用,其中A和B分别为4和2.38 kg ha-1的额外元素P。但是,只有在VR和UR方法都考虑了相同数量的样本(A区域为1200个,B区域为660个)的情况下,VR的较高的元素P肥料推荐才有效。对于测得的P-ext变化较大的地块和/或田地,需要大量的元素P肥料。结果还表明,在两个领域中,施用量随AW的增加而降低。对于任何RCI,平均小于5个P-ext连续值都不是正确的选择,因为目标P和分类为不同RCI的元素P之间的偏差较大。建议使用RCI 5和AW在10和15之间的组合,以低成本提供均匀的元素P和应用的元素P之间的良好匹配。

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