In-vivo nondestructive testing system for plant diseases based on optical imaging technique

Abstract

The invention discloses an in-vivo nondestructive testing system for plant diseases based on an optical imaging technique. Most detection manners for plant diseases aim at disease-visible plant diseases at presents. According to the system, light signals emitted by a light source respectively enter a sample arm and a reference arm after passing through an optical fiber coupler; returned to-be-tested signal light and reference light are intervened at the optical fiber coupler; reference light signals are received by an OCT spectrograph and are input into a control computer; light emitted from axenon lamp is filtered by a narrow-band pass filter to form ultraviolet light, and the ultraviolet light is reflected into an objective lens through a dichroscope and is emitted into a to-be-tested object through an objective lens so as to emit fluorescence; the fluorescence is backtracked to a hyperspectral spectrograph to form a spectrum, and the spectrum is transmitted to a control computer; and then the control computer executes OCT structural image reconstruction on the to-be-tested object, calculates a light penetration depth, an attenuation coefficient and an image entropy, executes spectral information analysis based on a fluorescent hyperspectral image and extracts spectral characteristics. The in-vivo nondestructive testing system can meet the requirements on plant minimal lesion detection, and early-stage disease detection can be realized.

Description

technical field [0001] The invention relates to an in vivo nondestructive detection system for plant diseases, in particular to a system for nondestructive detection of in vivo plant leaf information by using optical coherence tomography technology combined with fluorescent hyperspectral imaging technology. Background technique [0002] During the growth and development of plants, they will be affected by various adverse factors, leading to diseases, including the infection of biological factors such as fungi and viruses, or the influence of abiotic factors such as drought and high temperature. Plant diseases will not only lead to a decline in their quality and yield, but also require a large amount of drugs to be used for control, resulting in increased production costs and environmental pollution. If the correct identification can be made in the early stage or early stage of the plant being infected by the disease, and the implementation of pesticide spraying can not only ...

AI Technical Summary

Problems solved by technology

By extracting diseased spots on plant leaves or fruits, analyzing the color, shape and other characteristics of the diseased spots, the lack of early detection is of little significance for the treatment of plant diseases

In addition, if the early detection of plant diseases is to be realized, macroscopic imaging can no longer meet the requirements, so it is necessary to go deep into the mesoscopic and even microscopic levels. However, purely using hyperspectral imaging cannot observe the internal structural changes of plant tissues caused by diseases, so Unable to pinpoint the exact location of the infection

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