Remote sensing inversion model and method for soluble sugar accumulation of overground parts per unit area of rice based on stochastic gradient descent regression algorithm

Abstract

The invention provides a remote sensing inversion model for soluble sugar accumulation of overground parts per unit area of rice based on a stochastic gradient descent regression algorithm, which is a stochastic gradient descent regression model of Python language, and further provides model parameters of the stochastic gradient descent regression model. The invention further provides a remote sensing inversion method for the soluble sugar accumulation amount of the overground part per unit area of the rice based on the stochastic gradient descent regression algorithm. The remote sensing inversion model for the soluble sugar accumulation amount of the overground part per unit area of the rice based on the stochastic gradient descent regression algorithm can quickly and accurately obtain the soluble sugar accumulation amount information of the overground part per unit area of the rice, overcome the difficulty that the characteristic wave band of the soluble sugar accumulation amount of the overground part per unit area of the rice is difficult to determine due to the spectral superposition effect caused by complex rice components, greatly improve the precision of the inversion model of the soluble sugar accumulation amount of the overground part per unit area of the rice, is ingenious in design, simple in calculation, easy to implement and low in cost and is suitable for large-scale popularization and application.

Description

technical field [0001] The present invention relates to the technical field of agricultural remote sensing, in particular to the technical field of measurement of soluble sugar accumulation per unit area of ​​rice, specifically a remote sensing inversion model and method of soluble sugar accumulation per unit area of ​​rice based on stochastic gradient descent regression algorithm . Background technique [0002] The soluble sugar accumulation in the shoot of rice refers to the total accumulation of soluble sugar in the shoot of rice. Soluble sugar content is an important parameter to quantify rice photosynthesis to fix carbon dioxide and synthesize carbohydrates. At the same time, soluble sugar plays an important regulatory role in the life cycle of plants. It not only provides energy and metabolic intermediates for the growth and development of rice, but also has important signaling functions. It is an important regulator of rice growth and gene expression. The signal con...

AI Technical Summary

Problems solved by technology

In the process of constructing the inversion model of soluble sugar accumulation in the aboveground part of rice, the spectral range measured by the full-band spectrometer covers 350nm to 1100nm. It is difficult to determine the characteristic spectrum of accumulation, and the rapid processing of hyperspectral data has become an urgent technical problem to estimate the accumulation of soluble sugar in rice shoots based on hyperspectral data

In addition, the existing conventional model building methods need to retrain all the training data or recalculate the parameters of the model when adding training data, which is time-consuming and laborious, which is not conducive to the promotion and application of the model

[0005] Therefore, it is hoped to provide a remote sensing inversion model of soluble sugar accumulation per unit area of ​​rice shoots, which can quickly and accurately obtain the information of soluble sugar accumulation per unit area of ​​rice shoots, and overcome the spectral superposition effect caused by complex rice components. It is difficult to determine the characteristic bands of soluble sugar accumulation per unit area of ​​rice shoots, which greatly improves the accuracy of the inversion model of rice shoots soluble sugar accumulation per unit area

Images