Monitoring method of wheat leaf nitrogen content and construction method of monitoring model based on spectral bimodal index

Abstract

The invention discloses a wheat leaf nitrogen content monitoring method based on spectrum double-peak indexes and a method for establishing a monitoring model, aiming at solving the technical problems that the conventional wheat leaf nitrogen content monitoring model is low in universality and accuracy. The method for establishing the wheat leaf nitrogen content monitoring model based on the spectrum double-peak indexes comprises the following steps: acquiring information, delimiting a red-edge wave band area, establishing red-edge double-peak indexes, confirming an optimal critical segmentation wave band, establishing the monitoring model and verifying the model. The wheat leaf nitrogen content monitoring model with high precision and good universality is established, the expansibility and the stability of the monitoring model are enhanced, and high precision and accuracy in monitoring of nitrogen content in wheat leaves are achieved. By adopting the monitoring model, the wheat leaf nitrogen content monitoring method based on the spectrum double-peak indexes, which is disclosed by the invention, is high in accuracy and simple and easy to operate when the content of nitrogen in wheat leaves in a land to be tested is estimated.

Description

technical field [0001] The invention relates to the technical field of non-destructive monitoring of agricultural vegetation growth information, in particular to a method for monitoring the nitrogen content of wheat leaves based on a spectral bimodal index and a method for constructing a monitoring model thereof. Background technique [0002] Wheat is an important food crop in my country. The application of nitrogen fertilizer in the process of wheat planting is an effective way to improve its yield and quality. With the increase of nitrogen application rate, although the yield per unit area of ​​wheat has increased to a certain extent, the nitrogen utilization rate has decreased significantly, causing environmental pollution. The effect is aggravated, and there are dangers such as plant lodging, delayed ripening, aggravated pests and diseases, and poor quality. According to statistics, only 35% to 50% of the nitrogen fertilizer applied to the soil is absorbed and utilized by...

AI Technical Summary

Problems solved by technology

Most of the above methods are based on multi-spectral data, which have the disadvantages of low spectral resolution and small band range, while the analysis based on hyperspectral only uses a few characteristic bands, resulting in insufficient levels of mining and application of vegetation hyperspectral rich information, making the construction of The nitrogen spectrum estimation method has the limitations of poor scalability and lack of stability

In addition, in the research of existing spectral monitoring methods, the stability of the single-band model is poor, and the dual-band vegetation index model has the defect of oversaturation, especially in the process of increasing wheat production, the population is large and the dry matter production is high, so that the dual-band vegetation index has a great influence on the plant. Precise indication of nitrogen nutrition becomes less sensitive

At the same time, the spectral characteristic variables and multi-band models selected and established by the predecessors are still slightly complicated in structure and algorithm, which leads to poor temporal and spatial stability, universality and monitoring accuracy of the monitoring model, and weakens its monitoring model to a certain extent. production applicability

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