A Prediction Method of Surface Soil Nitrogen Distribution

Abstract

The present invention discloses a method for predicting nitrogen of soil and particularly relates to a method for predicting nitrogen distribution of surface soil. The present invention provides a method which combines wavelet analysis with a neural network model to establish a wavelet neural network coupling model on the basis of remote sensing data and a ground auxiliary variable so as to predict nitrogen distribution of the surface soil. According to the prediction method provided by the present invention, the effect of carrying out spatial interpolation by a small number of sampling points to obtain nitrogen content of soil in a sampling area is realized, so that the sampling points, sampling time and sampling cost are saved, cost of acquiring soil property spatial data is effectively reduced, spatial interpolation accuracy is improved and spatial distribution of nitrogen of the surface soil can be predicted under high accuracy.

Description

technical field [0001] The invention relates to a method for predicting soil nitrogen, in particular to a method for predicting nitrogen distribution in surface soil. Background technique [0002] Soil nitrogen is an important element that affects crop growth and environmental quality. Under the condition of nitrogen deficiency, the physiological growth process of many plants is affected, resulting in crop yield reduction; however, excessive nitrogen fertilizer application will not only increase the cost of agricultural production, but also cause non-point source pollution of surface and groundwater bodies due to mineral nitrogen leaching. Long-term application of nitrogen fertilizers has resulted in a large amount of enrichment of mineral nitrogen in the soil profile, which seriously affects the quality of agricultural products and threatens human health. Influenced by various soil-forming factors and environmental factors, soil nitrogen presents a non-uniform distribution...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the shortcomings of traditional nitrogen determination methods such as poor real-time performance, some scholars have gradually begun to use remote sensing technology with the advantages of fast speed and good reality for mod

Images