Liberobacter asiaticum detection method based on visible light images

Abstract

The invention discloses a liberobacter asiaticum detection method based on visible light images. In the training stage, a large number of images of citrus leaves infected with liberobacter asiaticum and images of normal leaves are collected, the feature values of the texture feature and the color feature are extracted, the above feature values and the feature values of normal leaves are trained and learned through a BP neural network, and the optimal BP neural network model is obtained; in the identification stage, the features of the leaf images to be identified are extracted and input into the optimal BP neural network model, and then whether a citrus tree is healthy is judged. By means of the liberobacter asiaticum detection method based on visible light images, the type of the liberobacter asiaticum and whether the citrus tree is not yellowed due to liberobacter asiaticum are further judged, early, accurate and non-destructive diagnosis can be carried out on the liberobacter asiaticum, and the liberobacter asiaticum detection method based on visible light images has the advantage of being high in detection accuracy.

Description

technical field [0001] The invention relates to the field of image processing research, in particular to a method for detecting citrus huanglongbing based on visible light images. Background technique [0002] Citrus is one of the fruits with the largest output in the world, and it is also one of the fruits with the largest planting scale in southern my country. Citrus Huanglongbing (HLB) is a devastating disease in citrus production, which is harmful and spreads rapidly. Once citrus is infected with HLB, the light one will seriously affect the yield and quality, and the severe one will cause the citrus tree to die. So far, there is no effective drug treatment. [0003] In order to prevent the spread of HLB pathogens, the primary measure adopted in citrus production is to root out diseased plants. In my country, more than one million acres of citrus orchards have been destroyed due to HLB. Therefore, HLB is considered to be a cancer of citrus, causing huge economic losses...

AI Technical Summary

Problems solved by technology

Although there are some diagnostic methods for citrus HLB, such as the most reliable PCR detection method, it is difficult to popularize and apply them in grassroots production

The main reason is that the PCR detection process is cumbersome, the cycle is long, the detection cost is high, and it needs to be carried out in a specific laboratory environment, and there are certain technical requirements for the detection personnel

Other methods, such as field diagnosis, grafting diagnosis, electron microscope observation, serological diagnosis, DNA probe hybridization, etc., cannot be popularized and applied in practice due to low diagnostic accuracy, long time-consuming, high cost, and cumbersome process.

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