Method for estimating plant nitrogen content based on three-waveband spectrum index

Abstract

The invention discloses a method for estimating plant nitrogen content based on a three-waveband spectrum index, which belongs to the field of plant remote sensing and monitoring. In the method, a blue-green light waveband and a correcting coefficient thereof are added on the basis of a near-infrared light wavelength and a visible red light wavelength, a monitoring model for the three-waveband spectrum index and the nitrogen content is built, meanwhile, a test model of the monitoring model is provided. The method overcomes the defect that the sensitivity is declined when the traditional two-waveband spectrum index method tends to be saturated; the method has higher precision and accuracy particularly for monitoring nitrogen content of wheat leaves and paddy rice with different varieties, different water content treatments and different nitrogen levels; the method realizes real-time acquisition of crop nitrogen information; and the method facilitates wide application of a crop non-destructive monitoring technology based on a spectrum technology.

Description

technical field [0001] The invention relates to the field of remote sensing of agricultural vegetation, in particular to a method for estimating nitrogen content of plants based on three-band spectral indices. Background technique [0002] The application of nitrogen fertilizer is an effective way to improve crop yield and quality, but unscientific nitrogen fertilizer input will make crops unable to fully absorb and utilize, resulting in economic loss and ecological pollution. Therefore, in recent years, people have begun to study precise nitrogen fertilizer management, so as to improve the effective way of nitrogen fertilizer utilization. Accurate and real-time acquisition of nitrogen status of field crops is the basis of precise nitrogen fertilizer management. [0003] The traditional methods of obtaining plant nitrogen nutrition mainly rely on destructive sampling and indoor analysis and determination. Although the results are relatively reliable, they have a certain lag ...

AI Technical Summary

Problems solved by technology

However, one of the main defects of NDVI is that when the vegetation coverage is greater than 80%, the NDVI value increases slowly and becomes saturated, which seriously affects the sensitivity of monitoring.

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