Machine vision based real-time diagnosis method and system of vegetable leaf diseases

Abstract

The invention discloses a machine vision based real-time diagnosis method and system of vegetable leaf diseases. The system comprises a disease image acquiring hardware part and a real-time diagnosis software part, wherein the image acquiring hardware part consists of a lighting box, a light source bracket, a light source, a round hole at the top of a box body, a digital camera, a camera fixing rod, an optical lens, a polarizer, a box body side door, an objective table and a computer. The method comprises the following steps: acquiring the symptom image of the leaf disease of vegetable to be detected; carrying out image treatment and scab division by utilizing real-time diagnosis software; acquiring the characteristic indexes of scab, such as color, texture and shape; and carrying out real-time diagnosis on the vegetable leaf disease by utilizing a disease identification model. The real-time diagnosis method and system can be directly used for detecting diseases in filed, plastic houses or greenhouses so as to achieve the rapid, stable and real-time diagnosis of various vegetable leaf diseases; no chemical reagent is used, therefore detection cost is reduced and no environment pollution is caused. The real-time diagnosis method and system can be well applied to disease monitoring.

Description

technical field [0001] The invention relates to a machine vision-based real-time diagnosis method and system, in particular to a machine vision-based real-time diagnosis method and system for vegetable leaf diseases. Background technique [0002] Vegetable diseases have always been the main factor restricting vegetable production. There are a large number of vegetable diseases, and the symptoms caused by them are diverse and complex. The occurrence of diseases not only leads to a decline in vegetable yield and quality, but also causes a large amount of pesticide input and an increase in control costs, increases production costs, and affects the pollution-free greenness of vegetables. Modernized production also creates certain obstacles to export trade, and there are potential environmental and health risks at the same time. [0003] The existing diagnostic methods for vegetable diseases can be summarized as follows: one is the traditional pathological method that has been m...

AI Technical Summary

Problems solved by technology

Although it does not consider the complexity of factors such as the complex environment in the field, the variety and the onset period, it is still a beneficial attempt in the digital diagnosis of plant diseases

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