Internet vegetable disease self-help diagnosis method and system based on typical characteristics of eggplant and fruit vegetable diseases

A vegetable disease, diagnosis system technology, applied in the biological field, can solve problems such as spending a lot of manpower and financial resources, difficult to diagnose solutions, and missing case statistics.

Inactive Publication Date: 2019-03-29
天津市农业科学院
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 man...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Internet vegetable disease self-help diagnosis method and system based on typical characteristics of eggplant and fruit vegetable diseases
  • Internet vegetable disease self-help diagnosis method and system based on typical characteristics of eggplant and fruit vegetable diseases
  • Internet vegetable disease self-help diagnosis method and system based on typical characteristics of eggplant and fruit vegetable diseases

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Self-diagnosis of tomato diseases:

[0053] In order to verify the feasibility of self-diagnosis of solanaceous vegetable diseases, tomato diseases were selected for self-diagnosis technical description.

[0054] Specific operation of tomato disease self-diagnosis system:

[0055] (1) Connect to the wireless network and start the application software on the mobile phone;

[0056] (2) Open the "Self-diagnosis" module and select "Disease";

[0057] (3) Carry out self-diagnosis of diseases,

[0058] (3-1) Select tomato and diseased site in turn, and click "Next";

[0059] (3-2) Select tomato plant symptoms and click "Next";

[0060] (3-3) Select the typical Tomato question and click "Next";

[0061] (3-4) Select typical tomato symptoms and click "Next";

[0062] (3-5) Select the focus of tomato diagnosis and click "Next";

[0063] (3-6) Display the possible tomato diseases and give the corresponding control measures (see Table 1-9 for information on the site of symp...

Embodiment 2

[0119] A self-diagnosis system for diseases of solanaceous vegetables based on the typical characteristics of diseases of solanaceous vegetables on the Internet, comprising steps in the following sequence:

[0120] (1) Connect to the wireless network and start the application software on the Android platform mobile phone;

[0121] (2) Open the "Self-Service Diagnosis" module and click "Disease Diagnosis";

[0122] (3) The user makes step-by-step self-selection according to the disease diagnosis rules;

[0123] (3-1) Select the diseased site in turn, and click "Next";

[0124] (3-2) Select the plant symptoms and click "Next";

[0125] (3-3) Select a typical question and click "Next";

[0126] (3-4) Select typical symptoms and click "Next";

[0127] (3-5) Select the focus of diagnosis and click "Next";

[0128] (3-6) Show possible diseases of solanaceous vegetables and give corresponding control measures.

[0129] (4) The diagnostic rules involved in the self-diagnosis sys...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an Internet vegetable disease self-help diagnosis method and system based on typical characteristics of eggplant and fruit vegetable diseases. the invention includes a vegetable disease search method for eggplant and fruit vegetable diseases, pathogens, typical characteristics of infection or symptom sites and an Internet self-help diagnosis system of plant physicians. Thediseases of tomato, eggplant, pepper and so on were studied by searching the typical diseases of the whole plant, growing point, flower, fruit, root, stem, leaf and other symptomatic parts of tomato.Using mobile phone self-help diagnostic software for disease self-help diagnosis, so as to obtain the results of eggplant vegetable disease diagnosis. The invention can enable the user to obtain the disease diagnosis result through the typical disease characteristic information directly according to the infection position and the symptom observed in practice, which is simple and easy to operate, and can be well applied to the disease diagnosis of the eggplant and fruit vegetables.

Description

technical field [0001] The invention belongs to the field of biotechnology, and relates to an Internet self-diagnosis method and system for solanaceous vegetable diseases based on typical disease characteristics of solanaceous 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, and ex...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/248G06F16/25G06F16/28G06Q50/02
CPCG06Q50/02
Inventor 王勇王建春张祝华高苇张春祥杨利娟徐义鑫叶少锋杜彦芳张硕吕雄杰刘晓琳刘佰明
Owner 天津市农业科学院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products