Construction method for summer corn nitrogen content monitoring model based on canopy spectrum information

Abstract

The invention discloses a construction method for summer corn nitrogen content monitoring model based on canopy spectrum information. According to the method, four kinds of summer corn nitrogen content monitoring models are constructed by taking original spectral reflectivity and first derivative spectrum most sensitive band, an optimal band combination and optimal spectrum index as basis by performing test analysis on the change characteristics of summer corn plant canopy spectral reflectivity in different fertilizing levels by a mini lysimeter, researching the response relation between the summer corn plant canopy spectral reflectivity and a first derivative and nitrogen content thereof, screening a sensitive band for corn canopy nitrogen content monitoring, and determining an optimal band combination is determined, and meanwhile, screening optimal spectral index; the four kinds of summer corn nitrogen content monitoring models are calibrated by model evaluation index, and verification is performed by using field plot test data, so as to confirm an optimal monitoring model. The monitoring model can be used for monitoring the nitrogen content of summer corn in the whole growth period, and has important theoretical and practical meaning for realizing large-scale crop nitrogen content non-destructive monitoring and precise water and fertilizer management.

Description

technical field [0001] The invention belongs to the field of agricultural technology, and in particular relates to a method for constructing a monitoring model of nitrogen content in the whole growth period of summer maize based on canopy spectral information. Background technique [0002] Maize is a widely planted food crop, and nitrogen fertilizer is one of the main limiting factors affecting the growth of maize, and plays an important role in the formation of its population growth, yield and quality. The adverse effects are also becoming more and more significant. Therefore, it is of great significance to quickly and effectively track and monitor the nitrogen fertilizer status of crops and rationally apply nitrogen fertilizer to improve the quality of corn and the sustainable use of land. The difference in spectral characteristics of crops due to different nitrogen content has been confirmed by many studies. Compared with the traditional destructive sampling method of mon...

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Problems solved by technology

To sum up, domestic and foreign studies on the quantitative relationship between crop spectral reflectance and plant nitrogen content have shown that there are still universal problems in monitoring plant nitrogen content with sensitive bands or spectral indices, namely Due to differences in crops, growth periods, and research areas in different studies, the sensitive bands and spectral index models for monitoring nitrogen content in plants are different

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