Winter wheat yield prediction method based on unmanned aerial vehicle imaging hyperspectral remote sensing

Abstract

The invention provides a winter wheat yield prediction method based on unmanned aerial vehicle imaging hyperspectral remote sensing, and the method comprises the following steps: hyperspectral image processing of an unmanned aerial vehicle, growth parameter inversion of crops, construction of a winter wheat yield prediction model, and verification of yield prediction precision. According to the prediction method provided by the invention, wheat growth vigor information obtained through hyperspectral remote sensing of the unmanned aerial vehicle in multiple growth periods is comprehensively considered; meanwhile, crop growth priori knowledge provided by a crop growth model is introduced to predict the wheat yield, the method is simple in calculation and accurate in result, has universalitystarting from a remote sensing mechanism, and provides a new thought and a new method for accurately predicting the crop yield.

Description

technical field [0001] The invention relates to the technical field of farmland quantitative remote sensing monitoring, in particular to a method for predicting crop yields using hyperspectral remote sensing technology. Background technique [0002] Grain is an important strategic material related to the national economy, people's livelihood and national economic security. Food security is closely related to economic development and social harmony. The shortage of water resources, land degradation, frequent natural disasters, and increasingly serious agricultural environmental pollution have seriously affected the stable development and quality improvement of food production. Winter wheat is one of the main grains in my country. Timely and accurate prediction of its yield can provide strong support for agricultural decision-making and management. It is an urgent need for the development of precision agriculture and sustainable development. [0003] Satellite remote sensing ...

AI Technical Summary

Problems solved by technology

[0005] Based on the above technical background, in order to overcome the deficiencies of the existing winter wheat remote sensing yield prediction methods, the inventors have carried out dedicated research and proposed a winter wheat yield prediction method based on UAV imaging hyperspectral remote sensing. Wheat growth information obtained by UAV hyperspectral remote sensing, combined with crop growth prior knowledge provided by crop growth models, is used to predict wheat yield. This method is simple in calculation and accurate in results. Starting from the remote sensing mechanism, it is universal and effective It overcomes the problems of poor model stability and complex models, and provides a new idea and method for accurate crop yield prediction.

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