Disease diagnosis method for leaf vegetables

Abstract

The invention discloses a disease diagnosis method for leaf vegetables. The method comprises the following steps: S1, denoising a leaf surface image of a leaf vegetable to obtain a first hue image of the leaf surface image of the leaf vegetable; S2, carrying out color characteristic extraction on the first hue image to obtain a characteristic information value and a second hue image of the leaf surface image of the leaf vegetable; S3, carrying out texture characteristic extraction on the second hue image to obtain a texture characteristic value of the second hue image; S4, calculating mean values of the texture characteristic values of all the pictures in a preset leaf vegetable disease picture base; S5, obtaining a disease threshold value point according to the mean values of the texture characteristic values; S6, diagnosing that the leaf vegetables of which the characteristic information values of the leaf surface images of the leaf vegetables are linearly relative are diseased leaf vegetables according to a preset discrimination function and the disease threshold value point. According to the disease diagnosis method for the leaf vegetables, the professional disease knowledge is better combined with a computer technology, so that the leaf vegetable diseases can be diagnosed by an image processing and mode identification technology more quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of disease diagnosis of leafy vegetables, in particular to a method for diagnosing disease of leafy vegetables based on disease symptoms of leaf surface images. Background technique [0002] During the production process of leafy vegetables, diseases often occur due to factors such as weather and environment. In the past, farmers often missed diagnosis and misdiagnosed due to lack of disease knowledge, which delayed the treatment of diseases. Leafy vegetable production benefits. Improving crop disease control and increasing economic benefits depends on timely and correct diagnosis of diseases. According to incomplete statistics, the correct rate of initial diagnosis for some common diseases is less than 60%, and for relatively rare diseases, the correct rate of initial diagnosis is even lower. Therefore, disease identification, as an important step in disease diagnosis, is the key and basis for the diagnos...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that in the accuracy and quickness of leaf vegetable disease diagnosis, the methods currently used are still limited, and...

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