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Remote sensing inversion model and method for protein nitrogen accumulation amount of overground part of rice based on CatBoost regression algorithm

A technology of remote sensing inversion and regression algorithm, applied in measuring devices, color/spectral characteristic measurement, material analysis through optical means, etc., can solve the problems of difficult to determine characteristic bands, complex components of rice, and characteristic spectra of protein nitrogen accumulation Determining difficulties and other problems to achieve the effect of improving accuracy, ingenious design, and simple calculation

Pending Publication Date: 2021-03-19
HUAIYIN TEACHERS COLLEGE
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Problems solved by technology

In the process of constructing the inversion model of rice shoot protein nitrogen accumulation, the spectral range measured by the full-band spectrometer covers 350nm to 2500nm. It is difficult to determine the characteristic spectrum of accumulation. Most of the models constructed only consider the linear effect or generalized linear effect between protein nitrogen accumulation and spectral characteristic bands. Urgent Technical Problems of Protein Nitrogen Accumulation
[0005] Therefore, it is hoped to provide a remote sensing inversion model of protein nitrogen accumulation in the aboveground part of rice, which can quickly and accurately obtain the accumulation of protein nitrogen in the aboveground part of rice, and overcome the spectral superposition effect caused by the complexity of rice components. It is difficult to determine the characteristic band of protein nitrogen accumulation, which greatly improves the accuracy of the inversion model of protein nitrogen accumulation in rice shoots

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  • Remote sensing inversion model and method for protein nitrogen accumulation amount of overground part of rice based on CatBoost regression algorithm
  • Remote sensing inversion model and method for protein nitrogen accumulation amount of overground part of rice based on CatBoost regression algorithm
  • Remote sensing inversion model and method for protein nitrogen accumulation amount of overground part of rice based on CatBoost regression algorithm

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Embodiment

[0061] The remote sensing inversion method of protein nitrogen accumulation in the aboveground part of rice based on the CatBoost regression algorithm in this embodiment 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, and the rice variety is Huaidao 5, the sampling period is the rice jointing stage), the rice canopy reflectance spectral data and the rice shoot protein nitrogen accumulation data collected, 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 36 sampling points are used for model building, and the data of 12 sampling points are used for model testing. The process of remote sensing inversion method for protein nitrogen accumulation in rice shoots based on CatBoost regress...

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Abstract

The invention provides a remote sensing inversion model for the protein nitrogen accumulation amount of the overground part of rice based on a CatBoost regression algorithm. The remote sensing inversion model is a CatBoost regression model of a Python language and further provides model parameters of the CatBoost regression model. The invention further provides a remote sensing inversion method for the protein nitrogen accumulation amount of the overground part of the rice based on the CatBoost regression algorithm. According to the remote sensing inversion model for the protein nitrogen accumulation amount of the overground part of the rice based on the CatBoost regression algorithm, the protein nitrogen accumulation amount information of the overground part of the rice can be rapidly andaccurately obtained, and the difficulty that the characteristic wave band of the protein nitrogen accumulation amount of the overground part of the rice is difficult to determine due to the spectralsuperposition effect caused by complex rice components is overcome, the precision of the remote sensing inversion model for the protein nitrogen accumulation amount of the overground part of the riceis greatly improved; and the model and the method are ingenious in design, simple and convenient in calculation, easy to implement, 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 the accumulation of protein nitrogen in the aboveground parts of rice, and specifically refers to a remote sensing inversion model and method for the accumulation of protein nitrogen in the aboveground parts of rice based on the CatBoost regression algorithm. Background technique [0002] The accumulation of protein nitrogen in the aboveground part of rice refers to the total accumulation of proteinaceous nitrogen in the aboveground part of rice. Fertilizer and water status (Yang Jie. Monitoring research on rice nitrogen and pigment content based on leaf hyperspectral index [D]. Nanjing Agricultural University, 2009). [0003] Monitoring the accumulation of protein nitrogen in the aboveground part of rice can not only ensure the yield and quality of rice production, but also dynamically manage the application of nitrogen fertil...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
CPCG01N21/25G01N2021/1797
Inventor 姜晓剑邵文琦钟平朱元励汪伟吴莹莹李卓陈青春任海芳
Owner HUAIYIN TEACHERS COLLEGE