Abstract:
In the modern world, the prediction of weather becomes a challenging task.
The weather prediction system is very useful and important for our agriculture.
Weather forecasting is important for investigating of many business and decreases
crop damage. Agriculture is the vital role for our country’s business and most of
people are depend on developing activities. Regression is one of the main methods
used in weather data prediction. Multinomial logistic regression is the important role
of the system and forecasting of weather data based on temperature, humidity and
wind. This system is applied to predict the weather data for a given location with
multinomial logistic regression in order to obtain the desired prediction. The system
of weather data prediction for a given location is Hinthada Region. It applies
multinomial logistic regression and Map Reduce platform. In the system uses
multinomial logistic regression to calculate the model. The various formats of weather
datasets store in Hadoop Distributed File System and to obtain the optimum result the
MapReduce Algorithm is used. This system predicts weather forecasting of Hinthada
Region. Weather forecasting is one of the most important task for farmers in Hinthada
Region and they decide their agriculture. Weather prediction helps agriculturist for
decision making for their crop. The system helps farmers to use effective approach
for weather prediction. Hinthada Region’s economy is highly dependent on its
agricultural products. The system helps the agriculturist to get the awareness of their
business and income.
