RAINFALL PREDICTION USING MACHINE LEARNING

RAINFALL PREDICTION USING MACHINE LEARNING

Kanasani Renuka Devi1, Alapati Padma Sree2,
Narra Bala Mary Sowmya3 , Katuri Santosh Dutt4 , Mrs. Sk. Shammi5
1,2,3,4 Student, Department of Computer Science and Engineering, Tirumala Engineering College

5 Professor, Department of Computer Science and Engineering, Tirumala Engineering College

Abstract - India is an agricultural country and its economy is largely based upon crop productivity and rainfall. For analyzing the crop productivity, rainfall prediction is require and necessary to all farmers. Rainfall Prediction is the application of science and technology to predict the state of the atmosphere. It is important to exactly determine the rainfall for effective use of water resources, crop productivity and pre planning of water structures. Using different data mining techniques it can predict rainfall. Data mining techniques are used to estimate the rainfall numerically. This paper focuses some of the popular data mining algorithms for rainfall prediction. Random Forest, K-Nearest Neighbor algorithm, Logistic regression, Decision Tree are some of the algorithms have been used. From that comparison, it can analyze which method gives better accuracy for rainfall prediction.

Key Words: Rain fall, Agricultural, Economy , Farmers, Water resources.