Unmanned aerial vehicle-borne terahertz wave and hyperspectral remote sensing crop monitoring system

Abstract

The invention discloses an unmanned aerial vehicle-borne terahertz wave and hyperspectral remote sensing crop monitoring system. A hardware platform is an unmanned aerial vehicle, and a terahertz reflection spectral imaging system and a passive hyperspectral imaging instrument are carried in the unmanned aerial vehicle; the terahertz reflection spectral imaging system comprises an active terahertzsource, a terahertz camera and a terahertz imager; the terahertz source emits terahertz waves to crops and earth surfaces; the terahertz camera receives spatially distributed reflected wave data of the terahertz wave which are finally formed in the crops and the earth surfaces through multiple reflection, refraction, transmission, and absorption; and the terahertz camera transmits the reflected wave data to the terahertz imager and forms corresponding terahertz wave imaging data. The unmanned aerial vehicle-borne terahertz wave and hyperspectral remote sensing crop monitoring system providedby the invention can help to solve the problems existing in the early discovery and diagnosis of crop growth, and facilitates to take effective intervention or remediation measures prior to the occurrence of a hazard to restore the crop health and avoid the influence on the crop yield.

Description

technical field [0001] The invention relates to a monitoring system, in particular to a drone-borne terahertz wave and hyperspectral remote sensing crop monitoring system, and relates to the technical field of agricultural remote sensing. Background technique [0002] Due to the vast agricultural land, carrying out agricultural resource monitoring and inspection work has high labor costs and low efficiency. Traditionally, the detection and control of agricultural diseases and insect pests is mainly carried out manually, and the health status of crops is monitored by visual inspection. The progress is slow, the operation area is small, and the sensitivity is poor. Corresponding to manual implementation of operations is agricultural remote sensing technology. The current agricultural remote sensing used for crop management has a history of more than 50 years, and the spectra involved are mainly optical and infrared. [0003] At present, agricultural remote sensing monitoring...

AI Technical Summary

Problems solved by technology

However, when infrared rays propagate in the air, the power loss is huge and the scattering is serious, and they cannot reach the inside of the leaves. Therefore, the effect of remote sensing of crops using infrared spectroscopy alone is not ideal.

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