Weather Forecasting And Prediction Using Data Mining
Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it might be observed that if t
2025-06-28 16:36:45 - Adil Khan
Weather Forecasting And Prediction Using Data Mining
Project Area of Specialization Shared EconomyProject SummaryWeather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it might be observed that if the sunset was particularly red, the following day often brought fair weather. However, not all of these predictions prove reliable. Here this system will predict weather based on parameters such as temperature, humidity and wind. This system is a web application with effective graphical user interface. User will login to the system using his user ID and password. User will enter current temperature; humidity and wind, System will take this parameter and will predict weather from previous data in database. The role of the admin is to add previous weather data in database, so that system will calculate weather based on these data. Weather forecasting system takes parameters such as temperature, humidity, and wind and will forecast weather based on previous record therefore this prediction will prove reliable. This system can be used in Air Traffic, Marine, Agriculture, Forestry, Military, and Navy etc.
Project ObjectivesFeatures:-
- Admin Login: - Admin will login to the system using Admin ID and Password.
- Add previous weather data: - Admin will add previous weather data in database.
- User Login: - User can access the system using his user ID and password.
- User Registration: - User can register himself by filling registration form.
- Input Parameters: - In this module user will enter parameters such as temperature, humidity and wind.
- Weather Forecast: - In this module, system will take current parameters entered by the user and will compare the parameters with the data in database and will predict the weather.
Artificial Neural Networks (ANN) and Decision Trees (DT) will be used to analyze meteorological data, gathered in-order to develop classification rules for the Application of Data Mining Techniques in Weather Prediction. Artificial Neural Networks (ANN) has received special attentions among different forecasting methods in recent years. Main reason for the popularity of ANN is its capability of supervised learning from complex relations using non-linear functions. This algorithm combines with both of the time series and regressional approaches. Weather parameters over the study period use available historical data for the prediction of future weather conditions. The targets for the prediction are those weather changes that affect our daily life e.g. changes in minimum and maximum temperature, rainfall, evaporation and wind speed. These techniques are often more powerful, flexible, and efficient for exploratory analysis than the statistical techniques. The most commonly used techniques in data mining are: artificial neural networks, logistic regression, discriminant analysis and decision trees. By this model, temperature (T), rainfall (R) and wind (W) speed can easily be predicted. The proposed system will try to attempt to provide more accurate prediction model data with more parameters and efficiency
Benefits of the Project- User can easily find out Weather condition by using this system.
- The primary advantage of forecasting is that it provides the business with valuable information that the business can use to make decisions about the future of the organization.
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This system can be used in Air Traffic, Marine, Agriculture, Forestry, Military, and Navy etc.
A complete system based on data mining for exploring of the weather forecasting. The system will provide accurate information espceially for the related business so that the business and other stakeholders can make decisions. The maximum benefits can be obtained by providing more data.
Final Deliverable of the Project Software SystemCore Industry ITOther Industries Agriculture , Manufacturing Core Technology Artificial Intelligence(AI)Other Technologies Cloud Infrastructure, OthersSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 68500 | |||
| Publication and Thesis | Miscellaneous | 2 | 5000 | 10000 |
| Android mobile for testing | Equipment | 1 | 35000 | 35000 |
| 4TB Hard disk for huge data | Equipment | 1 | 23500 | 23500 |