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Nitrogen Variability: A Need for Precision Agriculture

机译:氮变异性:精准农业的需求

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Nitrogen (N) variability can have a negative impact on many production practices as well as having a negative influence on the environment. Nitrogen can be highly variable, both spatially and temporally. This is due to the N cycle being such a dynamic system. Producers have to change management practices to account for this variability. One way to manage N variability is the implementation of precision management practices. Scale of N variability is important, when implementing precision management. In some sites, the resolution of N variability is too fine to implement traditional precision agriculture management, such as management zone soil sampling, therefore remote sensing needs to be implemented. Many ground-based remote sensors are able to detect fine resolution differences however, delays between sensing and implementing management practices makes them flawed. Therefore, on-the-go sensors that indirectly measure nutrient status by plant tissue can be utilized to minimize this downtime. Many of these sensors are available, such as the Greenseeker? and the Crop Circle?. Implementing these practices has been shown to increase the N use efficiency in crops therefore increasing potential yield and decreasing environmental hazards.
机译:氮(N)的变异性可能对许多生产实践产生负面影响,也对环境产生负面影响。氮在空间和时间上都是高度可变的。这是由于N循环是一个动态系统。生产者必须改变管理方法以解决这种可变性。管理N变异性的一种方法是实施精确度管理实践。在实施精确度管理时,N可变性的规模很重要。在某些地方,氮变异性的分辨率太高,无法实施传统的精准农业管理,例如管理区土壤采样,因此需要实施遥感。许多基于地面的远程传感器都能够检测出精细的分辨率差异,但是,感测和实施管理实践之间的延迟使它们有缺陷。因此,可以利用通过植物组织间接测量营养状况的移动传感器来最大程度地减少停机时间。这些传感器中有许多可用,例如Greenseeker?和麦田怪圈?实践表明,实施这些措施可以提高农作物的氮利用效率,从而增加潜在的产量并减少环境危害。

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