Unmanned aerial vehicle flight path planning soil humidity monitoring method and system based on image acquisition and readable storage medium

Abstract

The invention relates to an unmanned aerial vehicle flight path planning soil humidity monitoring method and system based on image acquisition and a readable storage medium. The method comprises the following steps of: establishing a target area observation point, generating an acquisition mode, and generating an unmanned aerial vehicle formation according to the acquisition mode to obtain formation information; obtaining initial state information of unmanned aerial vehicles and generating position information of the unmanned aerial vehicles; receiving a control instruction, generating an unmanned aerial vehicle flight mode, performing formation clustering according to the unmanned aerial vehicle flight mode, and generating a navigation constraint condition; according to the navigation constraint condition, establishing scheduling information, and generating an unmanned aerial vehicle reference flight path; collecting a target area remote sensing image, establishing a soil humidity prediction model, extracting a gray value of the remote sensing image, and obtaining a soil dielectric property; analyzing the soil water content according to the soil dielectric property to obtain first humidity information; and multiplying a proportion scale, and obtaining the target area remote sensing image again to obtain second humidity information.

Description

technical field [0001] The invention relates to a soil moisture monitoring method, in particular to a soil moisture monitoring method, system and readable storage medium based on image acquisition for UAV track planning. Background technique [0002] Soil moisture is an important basic parameter in the study of climate, hydrology, ecology and agriculture. It directly controls the transport and balance of water and heat between the landing surface and the atmosphere. Changes in soil moisture will cause changes in soil thermal properties and surface optical properties, thereby affecting climate change. Regional and large-scale land soil moisture change information is useful for the study of land-atmosphere interaction balance and land surface hydrology, improvement of regional and global climate model forecast results, monitoring of waterlogging and drought, assessment of crop growth status, natural and ecological environmental issues research is a crucial factor. Therefore,...

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Problems solved by technology

[0003] In order to achieve precise control of soil moisture monitoring, it is necessary to develop a matching system for control, establish observation points in the target area, generate collection methods, generate UAV formations according to the collection methods, and establish scheduling information according to navigation constraints , to intelligently dispatch UAVs, to realize joint shooting of UAVs, to establish a soil moisture prediction model, to extract the gray value of soil images, and to obtain soil dielectric properties; to analyze soil moisture content according to soil dielectric properties, but in the process of In the control process, how to achieve precise control and intelligent monitoring of soil moisture is an urgent problem to be solved

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