Wheat leaf layer nitrogen content spectral monitoring mode under soil background interference and modeling method

Abstract

The invention discloses a wheat leaf layer nitrogen content spectral monitoring mode under a soil background interference condition and a modeling method. A spectral monitoring model for the nitrogen content of the top leaf of wheat in the full growth period under the soil background interference is constructed by combining mixing reflection spectral data, which are acquired by an outdoor high spectral radiometer, of the wheat top leaf under the soil coexistence condition and field wheat vegetation coverage acquired by a digital camera with the nitrogen content of the top leaf of the wheat. According to wheat field test information of two years, vegetation indexes are corrected and normalized through the vegetation coverage, so that optical spectral parameters of the nitrogen content of the leaf of the wheat under the soil interference and the monitoring model are constructed. The monitoring model constructed based on a data set under the soil background interference can effectively reduce noise produced by a soil background, improve the precision of monitoring the nitrogen content of the leaf of the wheat and supply new theoretical basis and technical support to quick, lossless and real-time monitoring for the growth nitrogen nutrition condition of early wheat crops.

Description

technical field [0001] The invention relates to the field of non-destructive monitoring of crop growth information in precision agriculture, and relates to a spectral monitoring model and modeling method of nitrogen content in wheat leaf layers under soil background interference. technical background [0002] Hyperspectral remote sensing can quickly and non-destructively monitor the nitrogen nutrition status of crops, and provide important technical support for timely and appropriate nitrogen fertilizer regulation. Scientific nitrogen fertilizer management can not only improve nitrogen fertilizer use efficiency, increase yield, but also reduce environmental pollution. At present, crop nitrogen nutrition monitoring based on hyperspectral has been widely used in production practice. [0003] However, when wheat crops are topdressed, their populations are usually in a state where vegetation and soil background coexist. Most of the existing spectral parameters are constructed ...

AI Technical Summary

Problems solved by technology

Most of the existing spectral parameters are constructed based on the vegetation groups after the closure, which fails to effectively eliminate or reduce the impact of soil background on crop spectral monitoring, and the core bands of the previous spectral parameters are rarely based on all spectral bands in the hyperspectral range. Systematic analysis, which may result in some characteristic bands reflecting the nitrogen components of vegetation not being tapped and utilized

Images