An internet vegetable disease self-service diagnosis method and system based on melon vegetable disease typical characteristics

Abstract

The invention discloses an internet melon vegetable disease self-diagnosis method and system based on melon vegetable disease typical characteristics, comprising a vegetable disease retrieval method comprising disease typical characteristics such as melon vegetable disease types, pathogen portals, infected parts, symptoms and the like, and an Internet surgeon self-service diagnosis system, whereinthe melon vegetable diseases aim at fungus, bacteria, viruses, nematodes and physiological diseases such as cucumbers, bitter gourds, summer squash, pumpkins, towel gourds and wax gourds, and diseaseretrieval is carried out on typical characteristics of infected or symptomatic parts such as melon vegetable plants, flowers, fruits, roots, stems and leaves; and self-service diagnosis of diseases is carried out by utilizing mobile phone self-service diagnosis software, so that a diagnosis result is obtained. According to the method, a user can directly acquire a disease diagnosis result throughdisease typical characteristic information collection according to actually observed infection parts and symptoms, and the method is simple, convenient and easy to implement and can be well applied to melon vegetable disease diagnosis.

Description

technical field [0001] The invention belongs to the field of biotechnology, and relates to an Internet self-service diagnosis method and system for melon and vegetable diseases based on typical disease characteristics of melon and vegetable diseases. Background technique [0002] With the rapid development of science and technology, remote diagnosis technology has been widely used in agricultural informatization, such as the diagnosis and prevention of diseases such as livestock and poultry diseases, fish diseases, and rice pests. As early as the late 1970s, the expert system was gradually applied in the agricultural field and achieved many research results. In the 1980s, with the rapid development of information technology, the expert system had a great development in the field of disease diagnosis. In foreign countries, it has been reported to establish expert systems for potato cultivation, expert systems for coffee bean pest management, expert systems for olive crops, an...

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Problems solved by technology

However, in the process of actual use, it is also found that there are deficiencies: first, the establishment of the knowledge base has limitations, expert experience is subjective and inconsistent, and statistics of uncommon cases may be missed; second, the expert system Experts do not have a sense of thinking, and can only use the key words given by the user. It will be difficult for the expert system to effectively give an accurate diagnosis plan for a new disease. Third, the development of the expert system requires a lot of manpower and financial resources. takes a long time

[0003] In recent years, with the further development of broadband and wireless mobile communication technology and the continuous innovation of web application technology, as well as the further popularization of smart phones, the mobile Internet has entered a stage of rapid growth, and the scale of users has continued to increase, making the PC terminal agricultural expert system Disadvantages such as high cost, inconvenience, and strong network dependence have become increasingly prominent

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