Critical nitrogen concentration-based summer corn nitrogen hyperspectral prediction method

Abstract

The invention discloses a critical nitrogen concentration-based summer corn nitrogen hyperspectral prediction method. According to the method, a relation between an SPAD value and an NNI is established; a relation between the SPAD and a semi-empirical spectral index is established; the semi-empirical spectral index and a nitrogen nutrition index are associated through the intermediate variable SPAD value, so that a relation between the spectral index and the nitrogen nutrition is obtained and serves as a nitrogen nutrition index hyperspectral diagnosis model to predict nitrogen in a summer corn plant; and therefore, the defect that a statistical relation between a spectral index and an NNI is directly established in the prior art is eliminated; and the stability of the diagnosis model andthe accuracy of the prediction of the nitrogen content in the plant are improved.

Description

technical field [0001] The invention belongs to the technical field of plant nitrogen nutrition index prediction, in particular to a summer corn nitrogen hyperspectral prediction method based on critical nitrogen concentration. Background technique [0002] Maize is one of the main food crops in my country. Nitrogen is the most required nutrient element for the growth and development of maize, and plays an important role in the formation of aboveground dry matter and yield of maize. However, unreasonable fertilization, especially excessive nitrogen application, will lead to prominent ecological and environmental problems. Therefore, the precise management of nitrogen fertilizer is of great significance to ensure food safety production and ecological environment security. To realize the precise management of nitrogen fertilizer, it is necessary to know the nitrogen status of plants. At present, many scholars have done a lot of research on plant nitrogen diagnosis methods. Th...

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Problems solved by technology

[0004] In view of the above-mentioned deficiencies in the prior art, the summer corn nitrogen hyperspectral prediction method based on the critical nitrogen concentration provided by the presen

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