Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N Model

被引:1
|
作者
Samani, Babak [1 ]
Samani, Saeideh [1 ]
Yang, Haishun [2 ]
Yu, Hongfeng [1 ]
机构
[1] Univ Nebraska, Dept Comp Sci & Engn, Lincoln, NE 68588 USA
[2] Univ Nebraska, Dept Agron & Hort, Lincoln, NE USA
基金
美国国家科学基金会;
关键词
Uncertainty Analysis and Visualization; Multivariate Visualization; Nitrogen Leaching; TOOL;
D O I
10.1109/BigData50022.2020.9378105
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nitrogen (N) is an essential nutrient for many crops including corn and soybean. However, its leaching into groundwater is a serious cause of concern for environmental and public health. The amount of N leaching is closely linked to soil water drainage and rainfall. Prediction of N leaching in cropping systems is critical to the improvement of crop management. Maize-N is a model for maize yield and N rate recommendation. However, uncertainties in many parameters, such as weather predictions, soil properties, and information entered by users (e.g., applied N fertilizer), can incur uncertainties in N leaching simulation results. We have developed a platform to assist comprehending the relationship between various input parameters and N leaching. Our platform can reveal N leaching with uncertainty analysis and visualization of different parameters.
引用
收藏
页码:3295 / 3303
页数:9
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