Winter wheat plant moisture content inversion system and method based on unmanned aerial vehicle multispectral remote sensing

Abstract

The invention belongs to the technical field of plant growth monitoring, and discloses a winter wheat plant moisture content inversion system and method based on unmanned aerial vehicle multispectralremote sensing. The winter wheat plant moisture content inversion system based on unmanned aerial vehicle multispectral remote sensing comprises a region division module, a multispectral remote sensing image acquisition module, a remote sensing image preprocessing module, a spectral vegetation index extraction module, a central control module, an inversion model establishment module, an inversionmodel processing module, a winter wheat plant moisture content calculation module, a cloud storage module and a display module. An unmanned aerial vehicle is used to carry the multispectral remote sensing image acquisition device to obtain five-waveband spectral remote sensing images of a winter wheat plant in a to-be-detected area, and a nonlinear inversion model of the winter wheat plant moisture content in the to-be-detected area is constructed according to the spectral reflectivity and the spectral vegetation index, so that the winter wheat plant moisture content is calculated, a theoretical basis is provided for realizing accurate crop monitoring, and the applicability of unmanned aerial vehicle multispectral remote sensing monitoring is enhanced.

Description

technical field [0001] The invention belongs to the technical field of plant growth monitoring, and in particular relates to a system and method for retrieving the water content of winter wheat plants based on multi-spectral remote sensing of an unmanned aerial vehicle. Background technique [0002] At present, plant water content is one of the indicators reflecting the water status of crops, and it is also an important basis for the diagnosis of crop water deficit. Timely and accurate acquisition of plant water content information is of great significance for the development of precision agriculture and the efficient use of agricultural water resources. The traditional method of estimating plant moisture content is mainly through destructive sampling and measurement, which is cumbersome to operate and consumes a lot of manpower and material resources, which is not enough to meet the requirements of rapid monitoring. At present, the research on plant moisture content based o...

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Problems solved by technology

[0003] Through the above analysis, the problems and defects of the existing technology are: the traditional method of estimating the water content of plants is mainly through destructive sampling and measurement, which is cumbersome to operate and consumes a lot of manpower and material resources, which is not enough to meet the requirements of rapid monitoring

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