A Fast Monsoon Onset prediction using Parallelized Data mining

Dinu John, B. B. Meshram

Abstract


The onset of monsoon is eagerly awaited in the Indian sub-continent as it has deep impact in the economic and social domain and hence has been monitored and studied in great depth. With the advent of satellite imagery, it’s now possible to monitor the different parameters which affect or gets affected by the monsoon in a more global scale. In this paper, the onset of monsoon is predicted based using parallelized data mining on the features extracted from satellite images.

Keywords


Data mining, Satellite image, Weather forecasting, CUDA, Parallelization. KNN algorithm

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