An Extensive Review of Rainfall Prediction using Machine Learning and Deep Learning Techniques

Rainfall finds an important role in managing the water level in reservoirs and also in agriculture. The accurate prediction of rainfall is an undetermined problem due to varying climatic conditions and environmental changes. Artificial intelligence can be used to forecast the rainfall in particular area based on features like previous years amount of rainfall, change in climate, environmental factors and so on. The unpredicted rainfall may cause havoc damages with floods and loss of human made structures. Hence this study explores the usage of machine and deep learning techniques to predict the rainfall for the future planning of mankind settlement and associated works. Machine learning prediction techniques like regression and deep learning prediction techniques like convolution neural network, long short-term memory is explored. This study also discusses the pros and cons on usage of neural network algorithms and machine learning algorithms base on the availability of data and associated feature. Recent works in the area of rainfall prediction is also being discussed with varying feature extraction and prediction.