Method and device for detecting citrus canker

Abstract

The invention relates to a method for detecting citrus canker. The method comprises the following steps: carrying out dark adaptation treatment, obtaining fluorescence information and an RGB (Red, Green and Blue) image by using a chlorophyll fluorescence imager and an RGB camera, and computing chlorophyll fluorescence parameters, color features and textural features; distinguishing whether citrus is infected with a disease or not by utilizing a PLS (Partial Least Squares) discriminant analysis model; reading a fluorescence image of a to-be-detected citrus which is infected with the disease, analyzing and computing the area of the disease by applying a Gaussian mixture model, and realizing quantitative analysis on infecting degree. The invention also relates to a device for detecting the citrus canker. According to the method and the device for detecting the citrus canker, disclosed by the invention, citrus fruit canker in different growing periods of a young fruit period, a fruit greening period and a fruit ripening period and in different infecting degrees can be continuously and automatically detected by blending a chlorophyll fluorescence imaging technology with an RGB imaging technology.

Description

technical field [0001] The invention relates to the field of detection of plant canker, in particular to a detection method and device for citrus canker. Background technique [0002] Citrus canker is one of the most serious bacterial diseases of citrus, and fruit farmers suffer serious economic losses because of this. It is listed as a compulsory quarantine disease in commercial trade activities. Under natural conditions, the pathogen can spread and spread with the wind and rain. The main infection route is stomata, lenticels or wounds. It can infect the leaves, stems, branches and fruits of plants, resulting in weakening and death of plants. Under certain circumstances, it can cause a large number of leaves and fruits to fall, or even the death of the whole plant; even if the infected fruit does not fall off, it will form cracks and scarred ulcers on its epidermis, which will greatly reduce the appearance and appearance of the fruit, and cause serious damage to its sales a...

AI Technical Summary

Problems solved by technology

This preparation method can only qualitatively analyze the classification of plants into healthy and diseased categories, but cannot continue to further realize the quantitative analysis of the degree of disease and the precise positioning of diseased parts

At the same time, the disclosed plant disease detection device cannot realize fully automatic measurement

Images