| abstract |
The invention provides a remote sensing inversion model of carbon-nitrogen ratio of overground part of rice based on a Ridge regression algorithm, wherein the remote sensing inversion model of the carbon-nitrogen ratio of the overground part of the rice based on the Ridge regression algorithm is a Ridge regression model of Python language, and further provides model parameters of the Ridge regression model. And the remote sensing inversion method of the carbon-nitrogen ratio of the overground part of the rice based on the Ridge regression algorithm is also provided. The remote sensing inversion model of the carbon-nitrogen ratio of the overground part of the rice based on the Ridge regression algorithm can quickly and accurately acquire the carbon-nitrogen ratio information of the overground part of the rice, overcomes the difficulty that the characteristic wave band of the carbon-nitrogen ratio of the overground part of the rice is difficult to determine due to the spectrum superposition effect caused by complex rice components, greatly improves the precision of the inversion model of the carbon-nitrogen ratio of the overground part of the rice, and is ingenious in design, simple and convenient to calculate, easy to implement, low in cost and suitable for large-scale popularization and application. |