Cloud Type Classification for Prediction of Rain Fall using CNN

Abstract

Abstract: In order to forecast the climate, clouds are essential. Prediction of rainfall is also greatly influenced by the quantity and nature of clouds in the atmosphere. As a result, the most fascinating and important subject in meteorology is cloud identification, which also draws the most researchers from other fields. The transfer learning method used in this article to forecast rainfall using ground-based cloud images is presented. By classifying the type of cloud using cloud image input, it will be able to forecast the expected amount of rainfall. Based on the associated Precipitation that caused the appropriate Rainfall, the cloud images in the dataset are divided into three groups (classes) labeled as no rain to very low rain, low to medium rain, and medium to high rain. In this paper using CNN the classification of rainfall was done