A crop growth monitoring method and device based on a multi-rotor UAV platform

Abstract

A crop growth monitoring device based on a multi-rotor UAV platform, including a multi-rotor UAV, a load and a ground receiver; the load component includes a multi-spectral crop growth sensor module, a signal amplification module, a control Controller module, wireless data transmission module, and power supply module A and power control module A for power supply; also includes pan tilt. The crop growth monitoring device based on the multi-rotor drone platform of the present invention overcomes the influence of the drone's downwash flow field on the measurement. A crop growth monitoring device based on a multi-rotor UAV platform of the present invention can transmit measurement data to a ground receiver for online analysis and processing in real time, and realize continuous, real-time, convenient and large-scale acquisition of crop growth information.

Description

technical field [0001] The invention relates to a crop growth monitoring method and device based on a multi-rotor unmanned aerial vehicle platform, which relates to the field of precision agriculture, in particular to crop growth monitoring and diagnosis, especially large-area, continuous, fast, and rapid crop growth information based on an unmanned aerial vehicle platform. Real-time monitoring and diagnosis. Background technique [0002] Real-time acquisition of crop growth information is the primary condition for precise management of crop production. In the process of traditional crop production management, there is often a lack of accurate quantitative understanding of crop growth status; or although quantitative analysis of crop growth indicators is required, destructive sampling and chemical analysis are required, and timeliness is poor, which often leads to widespread excessive fertilization in production (especially Nitrogen fertilizer) or insufficient fertilizer ap...

AI Technical Summary

Problems solved by technology

Due to the high-intensity and high-density air flow field generated when the rotor hovers, it directly acts on the crop canopy, causing the canopy to be in a "non-stationary" random dynamic change, and the sensor cannot effectively capture the canopy reflection spectrum; another On the one hand, under the effect of the downwash flow field of the UAV, the specular reflection of the leaves is more significant, and the premise of the crop growth spectrum monitoring theory is to assume that the crop canopy has Lambertian characteristics. Therefore, the crop growth spectrum sensor There are still big problems in simply applying the growth monitoring model to the UAV platform

Images