Cucumber disease identification method based on cucumber leaf symptom image processing

Abstract

A cucumber disease identification method based on cucumber leaf symptom image processing comprises the steps that cucumber disease leaf scab images are segmented; cucumber disease leaf image identification features are extracted, dimensionality reduction is carried out on feature vectors, and at last cucumber disease identification is carried out. The method resolves the problems that the identification rate of cucumber diseases based on leaves is not high and identification effects are instable due to the facts that according to an existing cucumber disease identification method and technique, cucumber disease leaf image components are complex, scabs on disease cucumber leaves are irregular in arrangement and color, and shapes and colors of scabs of leaves of different diseases are not the same, and has the advantages of being high in feature extraction speed and identification rate, stable in identification effect, higher in practicability and the like.

Description

technical field [0001] The invention relates to the technical field of application of image processing and pattern recognition in cucumber disease identification, in particular to a cucumber disease identification method based on cucumber leaf symptom image processing. Background technique [0002] Cucumbers are widely distributed in China and even in many regions of the world. They are one of the main vegetables eaten by residents of many countries and have many benefits to the human body. However, cucumber is a kind of cucumber that is susceptible to diseases, and there are more than ten kinds of common cucumber diseases. Accurate judgment of cucumber disease types is the premise of cucumber disease control. Traditional cucumber disease detection basically relies on the visual estimation of agricultural producers. This detection method has many shortcomings, such as strong subjectivity, slow recognition speed, high recognition intensity, high false recognition rate, and p...

AI Technical Summary

Problems solved by technology

But detecting cucumber diseases by leaf symptoms is not an easy task

The reasons are: (1) There are many kinds of cucumber diseases at present, resulting in a variety of symptoms on the diseased leaves; (2) With the promotion of new high-quality cucumber varieties and diversified planting in my country, there will be more opportunities for the occurrence of more cucumber diseases. Due to the lack of suitable conditions (such as greenhouse planting, etc.), the incidence of cucumber diseases is on the rise.

These conditions also bring challenges to the research of cucumber disease detection methods based on cucumber leaf symptoms.

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