Rice leaf nitrogen accumulation remote sensing inversion model and method

A technology of leaf nitrogen accumulation and remote sensing inversion, which is applied in the field of rice leaf nitrogen accumulation remote sensing inversion model, can solve the problem that the characteristic bands of nitrogen accumulation are difficult to determine, the spectral characteristic bands of components overlap, and the characteristic spectrum of rice leaf nitrogen accumulation is solved. It can improve the accuracy and overcome the effect of spectral superposition.

Pending Publication Date: 2020-10-30
HUAIYIN TEACHERS COLLEGE
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Problems solved by technology

In the process of constructing the inversion model of nitrogen accumulation in rice leaves, the spectral range measured by the full-band spectrometer covers 350nm to 2500nm. At the same time, the rapid processing of hyperspectral data has become an urgent technical problem to estimate nitrogen accumulation in rice leaves based on hyperspectral data.
[0005] Therefore, it is hoped to provide a remote sensing inversi

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  • Rice leaf nitrogen accumulation remote sensing inversion model and method
  • Rice leaf nitrogen accumulation remote sensing inversion model and method
  • Rice leaf nitrogen accumulation remote sensing inversion model and method

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Embodiment

[0061] The remote sensing inversion method of rice leaf nitrogen accumulation in this example is based on the measured hyperspectral data, using the rice planting area (the rice and wheat planting base in Huai'an, Huai'an Academy of Agricultural Sciences, Jiangsu Province, the rice variety is Huaidao No. 5, and the sampling period The rice canopy reflectance spectral data and rice leaf nitrogen accumulation data collected at the jointing stage of rice) have a total of 48 sampling points. These sampling points are evenly distributed and completely cover the entire rice planting area. The data of 48 sampling points are randomly divided into two parts, of which the data of 38 sampling points are used for model construction, and the data of 10 sampling points are used for model testing. The process of remote sensing inversion method for rice leaf nitrogen accumulation is as follows: figure 1 shown, including the following steps:

[0062] 1. Spectrometry.

[0063] The rice canopy...

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Abstract

The invention provides a rice leaf nitrogen accumulation remote sensing inversion model. The rice leaf nitrogen accumulation remote sensing inversion model is an extreme random tree model of Python language, and model parameters of the extreme random tree model are further provided. The invention further provides a rice leaf nitrogen accumulation remote sensing inversion method. According to the rice leaf nitrogen accumulation remote sensing inversion model, the nitrogen accumulation amount information of rice leaves can be rapidly and accurately obtained; the difficulty that the characteristic wave band of the rice leaf nitrogen accumulation amount is difficult to determine due to the spectral superposition effect caused by complex rice components is overcome, the precision of the rice leaf nitrogen accumulation amount inversion model is greatly improved, and the model is ingenious in design, simple and convenient in calculation, easy to implement and low in cost and suitable for large-scale popularization and application.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to the technical field of measuring rice leaf nitrogen accumulation, in particular to a remote sensing inversion model and method for rice leaf nitrogen accumulation. Background technique [0002] Nitrogen accumulation in rice leaves refers to the total accumulation of nitrogen in rice leaves, which is an important indicator reflecting the nitrogen nutrition status of rice, rice growth and nitrogen absorption and utilization efficiency of rice, and reflects rice physiology, growth and fertilizer and water conditions (Shao Yongni. Research on rapid and non-destructive acquisition technology of rice growth physiological characteristics information [D]. Zhejiang University, 2010). [0003] Monitoring the nitrogen accumulation in rice leaves can not only ensure the yield and quality of rice production, but also dynamically manage the nitrogen fertilizer application i...

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Application Information

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IPC IPC(8): G01N21/25G01N21/55G01N31/00G01N33/00G06F30/27G06F17/16
CPCG01N21/25G01N21/55G01N31/002G01N33/0098G06F30/27G06F17/16
Inventor 姜晓剑陈青春朱元励钟平吴莹莹
Owner HUAIYIN TEACHERS COLLEGE
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