1. Application
The system adopts internationally advanced software technology to establish a unified and centralized data collection, processing, and storage platform for disease and pest information management and application, achieving the collection of basic data. Advanced algorithms and mathematical models are applied to provide support for disease and pest prediction and early warning, serving the vast number of farmers intuitively and scientifically, The system has reached the advanced level of similar products in China through the problems encountered by the agricultural department in the process of plant protection and inspection over the years, and conclusions are drawn to conduct software research and development through reasoning. Usually, it is a reasoning query and reverse query that staff are familiar with.
1. The special software for disease and pest warning is a basic application platform for plant protection engineering, and is a component of pest warning and prediction monitoring. It can comprehensively improve the information level of pest prediction and warning. It is also a scientific application of agricultural informatization in plant protection engineering.
2. This system has the functions of investigating, counting, analyzing, predicting, and partially preventing the occurrence of diseases and pests. It has played a role in collecting and organizing the database of plant protection diseases and pests. It can serve as a reference for establishing a disease and pest database for future countries.
3. Having certain characteristics of disease prevention and diagnosis functions.
2. Functional Characteristics
1. Predict the occurrence of future diseases and pests through historical data. By using curves and bar charts, the regularity of occurrence can be visually observed. The statistics and analysis of disease and pest investigation data provide a reference basis, with strong operability and easy to grasp and understand. Focus on the prediction and prediction of major local diseases and pests.
2. A forward search method for crop diseases, with known disease names. Forward inspection method for crop diseases, known disease names, diagnosis and treatment methods. Given the name of the disease, it is possible to search for prevention and control methods, with clear and visible images and text. Vegetables, field crops (such as corn, rice, soybeans, potatoes, etc.), fruit trees, pesticides, etc. Diagnosis of crop diseases, including diagnosis of diseases, pests, and rodents, as well as pesticide ratios.
3. Known pest names can be used to search for prevention and control methods.
4. Unknown disease name, known symptoms and location of occurrence, query disease name to know treatment method. Vegetables, field crops (such as corn, rice, soybeans, potatoes, etc.), fruit trees, trees, rodents, pesticides, etc
5. Unknown pest name, known symptoms and location of occurrence, query disease name to know treatment method.
6. Main diseases: corn head smut (black rice), corn big spot disease, soybean cyst nematode disease (Huolong seedling), soybean root rot (rotten root and wheat husk), soybean mosaic virus disease, potato ring rot, late blight, virus disease, rice blast, rice seedling damping off, green blight, rice bakanae (male rice), sunflower sclerotinia disease (rotten disk), sunflower downy mildew, sunflower black spot, sunflower Ledang Melon downy mildew.
7. Main types of insect pests: grassland borer, armyworm, aphid, underground insect pests (golden needle worm, ground tiger, white grub, mole cricket), corn borer, corn ash borer, alfalfa armyworm (harmful to soybeans), Mongolian weevil, black velvet golden devil, red spider, cabbage armyworm, soybean root miner, and soybean heartworm. More than 160 other diseases.
3. Major Function
1. Data entry: Enter the specific plot data of disease and pest occurrence in the county and the county, refine the scope of disease and pest occurrence, and enhance functionality.
2. Data change: For the entered data, multiple entries and changes can be made based on changes in pests and diseases.
3. Data query: Query the data of this county.
4. Data application: Based on the entered data, form a data waveform to predict the occurrence of diseases and pests during periods of comparable climate, soil, and water levels.
5. Data import: Enter the downloaded public data into this system.
6. Data screening: Organize the data with the same annual occurrence of diseases and pests in this county into a disease and pest database for backup.
7. Inquiry and treatment: Diagnose and treat diseases and pests based on their names and symptoms.
8. System maintenance: user management, system role management, personal password modification, administrator reset password.
4. Technical Characteristics
Based on the problems encountered by the agricultural department in the process of plant protection and inspection over the years, draw conclusions and use reasoning to conduct software research and development. Usually, it is a reasoning query and reverse query that staff are familiar with. The system has the following characteristics:
1. Stability: The system adopts advanced database retrieval technology to reduce the possibility of system misoperation during use.
2. Progressiveness: The system adopts advanced algorithms and mathematical models, which are easy to expand and upgrade.
3. Economy: The system greatly reduces product costs.
4. Maintainability: The system is equipped with powerful maintenance and management tool software, making it easy to maintain the system.
5. Ease of use: The system software interface is simple and friendly, and general staff can operate and use it proficiently after simple training.
