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
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[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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