A Novel Study of Rainfall in the Indian States and Predictive Analysis using Machine Learning Algorithms
Nikhil Tiwari, Anmol Singh
Abstract
In an agricultural country like India, the success or failure of the harvest is highly dependent on the rainfall pattern of the country. India's agriculture production is highly dependent on its precipitation behavior of the monsoon rainfall. Monsoon is the main source of water in India. Average rainfall prediction is a prime important factor for crop planning. Many of the studies have shown the direct influence of rainwater on the crops. This research has conducted a study on rainfall pattern in Indian states using machine learning techniques and algorithms, which utilizes government provided rainfall data from 1901-2017. This research proposes a study and analysis of rainfall in the Indian states using machine learning algorithms and compared their performances to the standard results.